Overview

Dataset statistics

Number of variables18
Number of observations1653
Missing cells4031
Missing cells (%)13.5%
Duplicate rows7
Duplicate rows (%)0.4%
Total size in memory235.8 KiB
Average record size in memory146.1 B

Variable types

Text13
DateTime3
Numeric2

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)
Author한국관광공사, 지방자치단체
URLhttps://www.data.go.kr/data/15013104/standard.do

Alerts

Dataset has 7 (0.4%) duplicate rowsDuplicates
후원기관명 has 878 (53.1%) missing valuesMissing
전화번호 has 170 (10.3%) missing valuesMissing
홈페이지주소 has 584 (35.3%) missing valuesMissing
관련정보 has 1251 (75.7%) missing valuesMissing
소재지도로명주소 has 186 (11.3%) missing valuesMissing
소재지지번주소 has 376 (22.7%) missing valuesMissing
위도 has 293 (17.7%) missing valuesMissing
경도 has 293 (17.7%) missing valuesMissing

Reproduction

Analysis started2024-05-04 07:53:33.123233
Analysis finished2024-05-04 07:53:45.980612
Duration12.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

축제명
Text

Distinct1441
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-04T07:53:46.455990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length12.299456
Min length3

Characters and Unicode

Total characters20331
Distinct characters768
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

Unique1289 ?
Unique (%)78.0%

Sample

1st row강릉커피축제
2nd row전국생활문화축제 in강릉
3rd row2022 강릉와인축제
4th row2022 강릉누들축제
5th row군위 삼장군단오축제
ValueCountFrequency (%)
축제 125
 
3.1%
2023 82
 
2.1%
2024 43
 
1.1%
2022 38
 
1.0%
26
 
0.7%
페스티벌 26
 
0.7%
제2회 20
 
0.5%
청소년 19
 
0.5%
개인전 18
 
0.5%
제19회 16
 
0.4%
Other values (2322) 3575
89.6%
2024-05-04T07:53:47.756189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2337
 
11.5%
제 1557
 
7.7%
축 886
 
4.4%
2 650
 
3.2%
회 402
 
2.0%
화 323
 
1.6%
0 297
 
1.5%
산 249
 
1.2%
문 226
 
1.1%
스 207
 
1.0%
Other values (758) 13197
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15250
75.0%
Space Separator 2337
 
11.5%
Decimal Number 1668
 
8.2%
Lowercase Letter 477
 
2.3%
Uppercase Letter 331
 
1.6%
Other Punctuation 61
 
0.3%
Open Punctuation 54
 
0.3%
Close Punctuation 54
 
0.3%
Dash Punctuation 44
 
0.2%
Math Symbol 27
 
0.1%
Other values (5) 28
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1557
 
10.2%
축 886
 
5.8%
회 402
 
2.6%
화 323
 
2.1%
산 249
 
1.6%
문 226
 
1.5%
스 207
 
1.4%
대 183
 
1.2%
리 182
 
1.2%
이 163
 
1.1%
Other values (670) 10872
71.3%
Uppercase Letter
ValueCountFrequency (%)
E 30
 
9.1%
A 24
 
7.3%
S 22
 
6.6%
C 22
 
6.6%
N 22
 
6.6%
M 21
 
6.3%
T 18
 
5.4%
D 18
 
5.4%
F 17
 
5.1%
I 14
 
4.2%
Other values (15) 123
37.2%
Lowercase Letter
ValueCountFrequency (%)
e 59
12.4%
i 46
9.6%
o 45
9.4%
t 41
 
8.6%
r 39
 
8.2%
n 37
 
7.8%
a 35
 
7.3%
s 25
 
5.2%
l 24
 
5.0%
h 19
 
4.0%
Other values (14) 107
22.4%
Decimal Number
ValueCountFrequency (%)
2 650
39.0%
0 297
17.8%
1 206
 
12.4%
3 186
 
11.2%
4 100
 
6.0%
9 56
 
3.4%
6 49
 
2.9%
8 47
 
2.8%
5 43
 
2.6%
7 34
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 23
37.7%
& 21
34.4%
: 7
 
11.5%
· 5
 
8.2%
, 3
 
4.9%
/ 1
 
1.6%
@ 1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 49
90.7%
[ 3
 
5.6%
「 1
 
1.9%
『 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 49
90.7%
] 3
 
5.6%
」 1
 
1.9%
』 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
< 12
44.4%
> 12
44.4%
+ 2
 
7.4%
~ 1
 
3.7%
Other Symbol
ValueCountFrequency (%)
○ 1
33.3%
△ 1
33.3%
□ 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
2337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15199
74.8%
Common 4271
 
21.0%
Latin 810
 
4.0%
Han 51
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1557
 
10.2%
축 886
 
5.8%
회 402
 
2.6%
화 323
 
2.1%
산 249
 
1.6%
문 226
 
1.5%
스 207
 
1.4%
대 183
 
1.2%
리 182
 
1.2%
이 163
 
1.1%
Other values (633) 10821
71.2%
Latin
ValueCountFrequency (%)
e 59
 
7.3%
i 46
 
5.7%
o 45
 
5.6%
t 41
 
5.1%
r 39
 
4.8%
n 37
 
4.6%
a 35
 
4.3%
E 30
 
3.7%
s 25
 
3.1%
l 24
 
3.0%
Other values (41) 429
53.0%
Common
ValueCountFrequency (%)
2337
54.7%
2 650
 
15.2%
0 297
 
7.0%
1 206
 
4.8%
3 186
 
4.4%
4 100
 
2.3%
9 56
 
1.3%
6 49
 
1.1%
( 49
 
1.1%
) 49
 
1.1%
Other values (27) 292
 
6.8%
Han
ValueCountFrequency (%)
展 15
29.4%
洪 1
 
2.0%
畵 1
 
2.0%
雲 1
 
2.0%
愛 1
 
2.0%
墨 1
 
2.0%
文 1
 
2.0%
美 1
 
2.0%
貪 1
 
2.0%
新 1
 
2.0%
Other values (27) 27
52.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15199
74.8%
ASCII 5062
 
24.9%
CJK 51
 
0.3%
None 9
 
< 0.1%
Punctuation 5
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2337
46.2%
2 650
 
12.8%
0 297
 
5.9%
1 206
 
4.1%
3 186
 
3.7%
4 100
 
2.0%
e 59
 
1.2%
9 56
 
1.1%
6 49
 
1.0%
( 49
 
1.0%
Other values (66) 1073
21.2%
Hangul
ValueCountFrequency (%)
제 1557
 
10.2%
축 886
 
5.8%
회 402
 
2.6%
화 323
 
2.1%
산 249
 
1.6%
문 226
 
1.5%
스 207
 
1.4%
대 183
 
1.2%
리 182
 
1.2%
이 163
 
1.1%
Other values (633) 10821
71.2%
CJK
ValueCountFrequency (%)
展 15
29.4%
洪 1
 
2.0%
畵 1
 
2.0%
雲 1
 
2.0%
愛 1
 
2.0%
墨 1
 
2.0%
文 1
 
2.0%
美 1
 
2.0%
貪 1
 
2.0%
新 1
 
2.0%
Other values (27) 27
52.9%
None
ValueCountFrequency (%)
· 5
55.6%
「 1
 
11.1%
」 1
 
11.1%
『 1
 
11.1%
』 1
 
11.1%
Punctuation
ValueCountFrequency (%)
’ 4
80.0%
“ 1
 
20.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Geometric Shapes
ValueCountFrequency (%)
○ 1
33.3%
△ 1
33.3%
□ 1
33.3%

개최장소
Text

Distinct1221
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-04T07:53:48.529866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length35
Mean length10.688445
Min length2

Characters and Unicode

Total characters17668
Distinct characters548
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

Unique976 ?
Unique (%)59.0%

Sample

1st row강릉대도호부 관아지 등
2nd row강릉명주예술마당
3rd row강릉 월화거리 일원(문선빌딩 방면)
4th row강릉 월화거리 일원(홈플러스 방면)
5th row효령면 고지바위권역다목적센터 일원
ValueCountFrequency (%)
일원 430
 
12.0%
및 102
 
2.8%
일대 78
 
2.2%
등 40
 
1.1%
광장 34
 
0.9%
춘천미술관 27
 
0.8%
춘천 21
 
0.6%
야외무대 18
 
0.5%
하동군 14
 
0.4%
경상남도 14
 
0.4%
Other values (1737) 2811
78.3%
2024-05-04T07:53:49.949989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1936
 
11.0%
원 956
 
5.4%
일 620
 
3.5%
장 461
 
2.6%
공 440
 
2.5%
천 294
 
1.7%
화 284
 
1.6%
관 264
 
1.5%
동 262
 
1.5%
대 254
 
1.4%
Other values (538) 11897
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14946
84.6%
Space Separator 1936
 
11.0%
Math Symbol 230
 
1.3%
Decimal Number 198
 
1.1%
Uppercase Letter 111
 
0.6%
Other Punctuation 83
 
0.5%
Open Punctuation 61
 
0.3%
Close Punctuation 61
 
0.3%
Lowercase Letter 40
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 956
 
6.4%
일 620
 
4.1%
장 461
 
3.1%
공 440
 
2.9%
천 294
 
2.0%
화 284
 
1.9%
관 264
 
1.8%
동 262
 
1.8%
대 254
 
1.7%
시 253
 
1.7%
Other values (483) 10858
72.6%
Uppercase Letter
ValueCountFrequency (%)
T 16
14.4%
F 15
13.5%
G 14
12.6%
K 14
12.6%
C 9
8.1%
N 6
 
5.4%
I 6
 
5.4%
B 6
 
5.4%
A 5
 
4.5%
E 4
 
3.6%
Other values (9) 16
14.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
15.0%
w 6
15.0%
r 5
12.5%
o 5
12.5%
k 4
10.0%
a 2
 
5.0%
f 2
 
5.0%
d 2
 
5.0%
y 2
 
5.0%
t 2
 
5.0%
Other values (4) 4
10.0%
Decimal Number
ValueCountFrequency (%)
1 55
27.8%
3 36
18.2%
2 28
14.1%
0 17
 
8.6%
8 15
 
7.6%
9 14
 
7.1%
6 11
 
5.6%
5 11
 
5.6%
4 9
 
4.5%
7 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 31
37.3%
. 20
24.1%
& 15
18.1%
· 15
18.1%
? 2
 
2.4%
Math Symbol
ValueCountFrequency (%)
+ 212
92.2%
~ 18
 
7.8%
Space Separator
ValueCountFrequency (%)
1936
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14944
84.6%
Common 2571
 
14.6%
Latin 151
 
0.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 956
 
6.4%
일 620
 
4.1%
장 461
 
3.1%
공 440
 
2.9%
천 294
 
2.0%
화 284
 
1.9%
관 264
 
1.8%
동 262
 
1.8%
대 254
 
1.7%
시 253
 
1.7%
Other values (481) 10856
72.6%
Latin
ValueCountFrequency (%)
T 16
 
10.6%
F 15
 
9.9%
G 14
 
9.3%
K 14
 
9.3%
C 9
 
6.0%
e 6
 
4.0%
N 6
 
4.0%
I 6
 
4.0%
B 6
 
4.0%
w 6
 
4.0%
Other values (23) 53
35.1%
Common
ValueCountFrequency (%)
1936
75.3%
+ 212
 
8.2%
( 61
 
2.4%
) 61
 
2.4%
1 55
 
2.1%
3 36
 
1.4%
, 31
 
1.2%
2 28
 
1.1%
. 20
 
0.8%
~ 18
 
0.7%
Other values (12) 113
 
4.4%
Han
ValueCountFrequency (%)
貶 1
50.0%
漬 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14944
84.6%
ASCII 2707
 
15.3%
None 15
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1936
71.5%
+ 212
 
7.8%
( 61
 
2.3%
) 61
 
2.3%
1 55
 
2.0%
3 36
 
1.3%
, 31
 
1.1%
2 28
 
1.0%
. 20
 
0.7%
~ 18
 
0.7%
Other values (44) 249
 
9.2%
Hangul
ValueCountFrequency (%)
원 956
 
6.4%
일 620
 
4.1%
장 461
 
3.1%
공 440
 
2.9%
천 294
 
2.0%
화 284
 
1.9%
관 264
 
1.8%
동 262
 
1.8%
대 254
 
1.7%
시 253
 
1.7%
Other values (481) 10856
72.6%
None
ValueCountFrequency (%)
· 15
100.0%
CJK
ValueCountFrequency (%)
貶 1
50.0%
漬 1
50.0%

축제시작일자
Date

Distinct644
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2011-05-20 00:00:00
Maximum2025-01-08 00:00:00
2024-05-04T07:53:50.494698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:53:51.120829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

축제종료일자
Date

Distinct602
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2011-05-22 00:00:00
Maximum2025-01-31 00:00:00
2024-05-04T07:53:51.704962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:53:52.342036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

축제내용
Text

Distinct1420
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-04T07:53:52.997746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length510
Median length123
Mean length30.053842
Min length2

Characters and Unicode

Total characters49679
Distinct characters939
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1263 ?
Unique (%)76.4%

Sample

1st row커피경연대회(바리스타+핸드드립+커핑+마카롱)+커피체험(로스팅+추출+커핑+공예품 등)+전시+공연 등
2nd row전국 생활문화 활동 발표+기획 프로그램 등
3rd row도전 와인 골든벨+선셋 와인 아워+시음존 등 운영
4th row누들 쿠킹쇼, 쿠킹클래스, 시식회, 대형 수제비 만들기 등
5th row단오축제
ValueCountFrequency (%)
등 600
 
6.4%
및 229
 
2.4%
공연 136
 
1.4%
체험 85
 
0.9%
전시 63
 
0.7%
운영 61
 
0.6%
프로그램 59
 
0.6%
수 55
 
0.6%
축제 55
 
0.6%
있는 50
 
0.5%
Other values (5188) 8049
85.2%
2024-05-04T07:53:54.185162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7796
 
15.7%
+ 2100
 
4.2%
연 890
 
1.8%
공 775
 
1.6%
등 685
 
1.4%
제 649
 
1.3%
체 641
 
1.3%
시 636
 
1.3%
험 626
 
1.3%
이 625
 
1.3%
Other values (929) 34256
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37623
75.7%
Space Separator 7796
 
15.7%
Math Symbol 2123
 
4.3%
Other Punctuation 820
 
1.7%
Decimal Number 566
 
1.1%
Uppercase Letter 258
 
0.5%
Lowercase Letter 191
 
0.4%
Close Punctuation 119
 
0.2%
Open Punctuation 119
 
0.2%
Final Punctuation 29
 
0.1%
Other values (4) 35
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 890
 
2.4%
공 775
 
2.1%
등 685
 
1.8%
제 649
 
1.7%
체 641
 
1.7%
시 636
 
1.7%
험 626
 
1.7%
이 625
 
1.7%
기 612
 
1.6%
전 597
 
1.6%
Other values (847) 30887
82.1%
Uppercase Letter
ValueCountFrequency (%)
D 30
 
11.6%
E 24
 
9.3%
M 20
 
7.8%
P 17
 
6.6%
O 16
 
6.2%
J 16
 
6.2%
S 15
 
5.8%
R 13
 
5.0%
B 11
 
4.3%
N 11
 
4.3%
Other values (14) 85
32.9%
Lowercase Letter
ValueCountFrequency (%)
e 23
12.0%
i 21
11.0%
t 18
 
9.4%
o 17
 
8.9%
n 15
 
7.9%
r 11
 
5.8%
a 10
 
5.2%
m 8
 
4.2%
s 8
 
4.2%
l 8
 
4.2%
Other values (13) 52
27.2%
Decimal Number
ValueCountFrequency (%)
2 138
24.4%
0 104
18.4%
1 97
17.1%
3 61
10.8%
9 37
 
6.5%
5 31
 
5.5%
6 31
 
5.5%
4 30
 
5.3%
8 21
 
3.7%
7 16
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 456
55.6%
· 194
23.7%
. 132
 
16.1%
/ 16
 
2.0%
& 10
 
1.2%
: 9
 
1.1%
? 2
 
0.2%
＆ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 2100
98.9%
< 8
 
0.4%
> 8
 
0.4%
~ 7
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 116
97.5%
」 2
 
1.7%
] 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 116
97.5%
「 2
 
1.7%
[ 1
 
0.8%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
50.0%
“ 2
50.0%
Space Separator
ValueCountFrequency (%)
7796
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37607
75.7%
Common 11607
 
23.4%
Latin 449
 
0.9%
Han 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 890
 
2.4%
공 775
 
2.1%
등 685
 
1.8%
제 649
 
1.7%
체 641
 
1.7%
시 636
 
1.7%
험 626
 
1.7%
이 625
 
1.7%
기 612
 
1.6%
전 597
 
1.6%
Other values (833) 30871
82.1%
Latin
ValueCountFrequency (%)
D 30
 
6.7%
E 24
 
5.3%
e 23
 
5.1%
i 21
 
4.7%
M 20
 
4.5%
t 18
 
4.0%
o 17
 
3.8%
P 17
 
3.8%
O 16
 
3.6%
J 16
 
3.6%
Other values (37) 247
55.0%
Common
ValueCountFrequency (%)
7796
67.2%
+ 2100
 
18.1%
, 456
 
3.9%
· 194
 
1.7%
2 138
 
1.2%
. 132
 
1.1%
) 116
 
1.0%
( 116
 
1.0%
0 104
 
0.9%
1 97
 
0.8%
Other values (25) 358
 
3.1%
Han
ValueCountFrequency (%)
展 2
12.5%
夜 2
12.5%
通 1
 
6.2%
孝 1
 
6.2%
祭 1
 
6.2%
蔘 1
 
6.2%
間 1
 
6.2%
異 1
 
6.2%
系 1
 
6.2%
統 1
 
6.2%
Other values (4) 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37604
75.7%
ASCII 11822
 
23.8%
None 199
 
0.4%
Punctuation 33
 
0.1%
CJK 16
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7796
65.9%
+ 2100
 
17.8%
, 456
 
3.9%
2 138
 
1.2%
. 132
 
1.1%
) 116
 
1.0%
( 116
 
1.0%
0 104
 
0.9%
1 97
 
0.8%
3 61
 
0.5%
Other values (64) 706
 
6.0%
Hangul
ValueCountFrequency (%)
연 890
 
2.4%
공 775
 
2.1%
등 685
 
1.8%
제 649
 
1.7%
체 641
 
1.7%
시 636
 
1.7%
험 626
 
1.7%
이 625
 
1.7%
기 612
 
1.6%
전 597
 
1.6%
Other values (831) 30868
82.1%
None
ValueCountFrequency (%)
· 194
97.5%
」 2
 
1.0%
「 2
 
1.0%
＆ 1
 
0.5%
Punctuation
ValueCountFrequency (%)
’ 29
87.9%
‘ 2
 
6.1%
“ 2
 
6.1%
CJK
ValueCountFrequency (%)
展 2
12.5%
夜 2
12.5%
通 1
 
6.2%
孝 1
 
6.2%
祭 1
 
6.2%
蔘 1
 
6.2%
間 1
 
6.2%
異 1
 
6.2%
系 1
 
6.2%
統 1
 
6.2%
Other values (4) 4
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
66.7%
ㆍ 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

주관기관명
Text

Distinct1046
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-04T07:53:54.662163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length10.38294
Min length2

Characters and Unicode

Total characters17163
Distinct characters526
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

Unique766 ?
Unique (%)46.3%

Sample

1st row강릉문화재단
2nd row강릉문화재단
3rd row강릉문화재단
4th row강원도 강릉시청
5th row군위문화원
ValueCountFrequency (%)
서울특별시 47
 
2.1%
경기도 40
 
1.7%
제주특별자치도 31
 
1.4%
부산광역시 30
 
1.3%
전라남도 26
 
1.1%
축제추진위원회 22
 
1.0%
제주시 21
 
0.9%
문화예술과 20
 
0.9%
해운대구청 18
 
0.8%
재)안양문화예술재단 17
 
0.7%
Other values (1187) 2014
88.1%
2024-05-04T07:53:55.765625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 778
 
4.5%
원 709
 
4.1%
633
 
3.7%
제 627
 
3.7%
화 527
 
3.1%
문 487
 
2.8%
위 479
 
2.8%
축 397
 
2.3%
시 381
 
2.2%
재 351
 
2.0%
Other values (516) 11794
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15635
91.1%
Space Separator 633
 
3.7%
Close Punctuation 281
 
1.6%
Open Punctuation 261
 
1.5%
Math Symbol 126
 
0.7%
Uppercase Letter 83
 
0.5%
Decimal Number 76
 
0.4%
Other Symbol 25
 
0.1%
Other Punctuation 24
 
0.1%
Lowercase Letter 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 778
 
5.0%
원 709
 
4.5%
제 627
 
4.0%
화 527
 
3.4%
문 487
 
3.1%
위 479
 
3.1%
축 397
 
2.5%
시 381
 
2.4%
재 351
 
2.2%
진 307
 
2.0%
Other values (463) 10592
67.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
12.0%
M 10
12.0%
N 10
12.0%
K 7
 
8.4%
B 7
 
8.4%
E 6
 
7.2%
D 4
 
4.8%
S 4
 
4.8%
J 4
 
4.8%
O 3
 
3.6%
Other values (10) 18
21.7%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.8%
a 2
10.5%
c 2
10.5%
o 2
10.5%
u 2
10.5%
g 1
 
5.3%
f 1
 
5.3%
b 1
 
5.3%
e 1
 
5.3%
d 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
1 17
22.4%
2 14
18.4%
3 13
17.1%
6 9
11.8%
9 7
9.2%
4 5
 
6.6%
0 4
 
5.3%
8 3
 
3.9%
7 3
 
3.9%
5 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
· 7
29.2%
: 6
25.0%
, 6
25.0%
& 3
12.5%
. 2
 
8.3%
Space Separator
ValueCountFrequency (%)
633
100.0%
Close Punctuation
ValueCountFrequency (%)
) 281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 261
100.0%
Math Symbol
ValueCountFrequency (%)
+ 126
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15659
91.2%
Common 1401
 
8.2%
Latin 102
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 778
 
5.0%
원 709
 
4.5%
제 627
 
4.0%
화 527
 
3.4%
문 487
 
3.1%
위 479
 
3.1%
축 397
 
2.5%
시 381
 
2.4%
재 351
 
2.2%
진 307
 
2.0%
Other values (463) 10616
67.8%
Latin
ValueCountFrequency (%)
C 10
 
9.8%
M 10
 
9.8%
N 10
 
9.8%
K 7
 
6.9%
B 7
 
6.9%
E 6
 
5.9%
D 4
 
3.9%
S 4
 
3.9%
J 4
 
3.9%
O 3
 
2.9%
Other values (23) 37
36.3%
Common
ValueCountFrequency (%)
633
45.2%
) 281
20.1%
( 261
18.6%
+ 126
 
9.0%
1 17
 
1.2%
2 14
 
1.0%
3 13
 
0.9%
6 9
 
0.6%
· 7
 
0.5%
9 7
 
0.5%
Other values (9) 33
 
2.4%
Han
ValueCountFrequency (%)
響 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15634
91.1%
ASCII 1496
 
8.7%
None 32
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 778
 
5.0%
원 709
 
4.5%
제 627
 
4.0%
화 527
 
3.4%
문 487
 
3.1%
위 479
 
3.1%
축 397
 
2.5%
시 381
 
2.4%
재 351
 
2.2%
진 307
 
2.0%
Other values (462) 10591
67.7%
ASCII
ValueCountFrequency (%)
633
42.3%
) 281
18.8%
( 261
17.4%
+ 126
 
8.4%
1 17
 
1.1%
2 14
 
0.9%
3 13
 
0.9%
C 10
 
0.7%
M 10
 
0.7%
N 10
 
0.7%
Other values (41) 121
 
8.1%
None
ValueCountFrequency (%)
㈜ 25
78.1%
· 7
 
21.9%
CJK
ValueCountFrequency (%)
響 1
100.0%

주최기관명
Text

Distinct884
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-04T07:53:56.372164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length9.9546279
Min length3

Characters and Unicode

Total characters16455
Distinct characters485
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique615 ?
Unique (%)37.2%

Sample

1st row강원도 강릉시청
2nd row강원도 강릉시청
3rd row강원도 강릉시청
4th row강원도 강릉시청
5th row군위문화원
ValueCountFrequency (%)
경기도 134
 
4.9%
전라남도 83
 
3.1%
제주특별자치도 73
 
2.7%
서울특별시 68
 
2.5%
경상남도 47
 
1.7%
강원도 45
 
1.7%
충청남도 44
 
1.6%
충청북도 42
 
1.5%
부산광역시 40
 
1.5%
경상북도 38
 
1.4%
Other values (956) 2097
77.4%
2024-05-04T07:53:58.008343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1058
 
6.4%
도 722
 
4.4%
청 718
 
4.4%
시 693
 
4.2%
원 502
 
3.1%
회 405
 
2.5%
제 373
 
2.3%
화 319
 
1.9%
구 304
 
1.8%
주 281
 
1.7%
Other values (475) 11080
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14814
90.0%
Space Separator 1058
 
6.4%
Math Symbol 150
 
0.9%
Close Punctuation 139
 
0.8%
Open Punctuation 123
 
0.7%
Decimal Number 64
 
0.4%
Uppercase Letter 56
 
0.3%
Lowercase Letter 24
 
0.1%
Other Punctuation 15
 
0.1%
Other Symbol 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 722
 
4.9%
청 718
 
4.8%
시 693
 
4.7%
원 502
 
3.4%
회 405
 
2.7%
제 373
 
2.5%
화 319
 
2.2%
구 304
 
2.1%
주 281
 
1.9%
문 281
 
1.9%
Other values (424) 10216
69.0%
Uppercase Letter
ValueCountFrequency (%)
K 8
14.3%
G 8
14.3%
S 6
10.7%
B 6
10.7%
E 5
8.9%
N 4
7.1%
C 4
7.1%
M 4
7.1%
D 3
 
5.4%
Z 2
 
3.6%
Other values (6) 6
10.7%
Lowercase Letter
ValueCountFrequency (%)
a 3
12.5%
n 3
12.5%
e 2
 
8.3%
o 2
 
8.3%
c 2
 
8.3%
u 2
 
8.3%
g 1
 
4.2%
f 1
 
4.2%
w 1
 
4.2%
t 1
 
4.2%
Other values (6) 6
25.0%
Decimal Number
ValueCountFrequency (%)
3 14
21.9%
1 14
21.9%
2 12
18.8%
6 6
9.4%
9 6
9.4%
4 5
 
7.8%
0 3
 
4.7%
5 2
 
3.1%
7 2
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 7
46.7%
· 5
33.3%
. 2
 
13.3%
& 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1058
100.0%
Math Symbol
ValueCountFrequency (%)
+ 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14825
90.1%
Common 1550
 
9.4%
Latin 80
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 722
 
4.9%
청 718
 
4.8%
시 693
 
4.7%
원 502
 
3.4%
회 405
 
2.7%
제 373
 
2.5%
화 319
 
2.2%
구 304
 
2.1%
주 281
 
1.9%
문 281
 
1.9%
Other values (425) 10227
69.0%
Latin
ValueCountFrequency (%)
K 8
 
10.0%
G 8
 
10.0%
S 6
 
7.5%
B 6
 
7.5%
E 5
 
6.2%
N 4
 
5.0%
C 4
 
5.0%
M 4
 
5.0%
D 3
 
3.8%
a 3
 
3.8%
Other values (22) 29
36.2%
Common
ValueCountFrequency (%)
1058
68.3%
+ 150
 
9.7%
) 139
 
9.0%
( 123
 
7.9%
3 14
 
0.9%
1 14
 
0.9%
2 12
 
0.8%
, 7
 
0.5%
6 6
 
0.4%
9 6
 
0.4%
Other values (8) 21
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14814
90.0%
ASCII 1625
 
9.9%
None 16
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1058
65.1%
+ 150
 
9.2%
) 139
 
8.6%
( 123
 
7.6%
3 14
 
0.9%
1 14
 
0.9%
2 12
 
0.7%
K 8
 
0.5%
G 8
 
0.5%
, 7
 
0.4%
Other values (39) 92
 
5.7%
Hangul
ValueCountFrequency (%)
도 722
 
4.9%
청 718
 
4.8%
시 693
 
4.7%
원 502
 
3.4%
회 405
 
2.7%
제 373
 
2.5%
화 319
 
2.2%
구 304
 
2.1%
주 281
 
1.9%
문 281
 
1.9%
Other values (424) 10216
69.0%
None
ValueCountFrequency (%)
㈜ 11
68.8%
· 5
31.2%

후원기관명
Text

MISSING 

Distinct388
Distinct (%)50.1%
Missing878
Missing (%)53.1%
Memory size13.0 KiB
2024-05-04T07:53:58.568955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length81
Mean length15.268387
Min length1

Characters and Unicode

Total characters11833
Distinct characters368
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)34.5%

Sample

1st row문화체육관광부+강원도청
2nd row지역문화진흥원
3rd row강원도청
4th row강원도 강릉시청
5th row대구광역시청+대구광역시 군위군청
ValueCountFrequency (%)
강원도 77
 
5.4%
중구 49
 
3.4%
대구광역시+대구광역시 42
 
2.9%
충청남도 40
 
2.8%
경기도 30
 
2.1%
경상남도 30
 
2.1%
서울특별시 29
 
2.0%
원주시청 28
 
2.0%
대구광역시 27
 
1.9%
전라남도 24
 
1.7%
Other values (509) 1054
73.7%
2024-05-04T07:53:59.322151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 677
 
5.7%
655
 
5.5%
도 549
 
4.6%
청 527
 
4.5%
시 512
 
4.3%
광 443
 
3.7%
원 361
 
3.1%
구 290
 
2.5%
강 243
 
2.1%
관 239
 
2.0%
Other values (358) 7337
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10178
86.0%
Math Symbol 677
 
5.7%
Space Separator 655
 
5.5%
Uppercase Letter 152
 
1.3%
Decimal Number 40
 
0.3%
Close Punctuation 35
 
0.3%
Open Punctuation 34
 
0.3%
Lowercase Letter 31
 
0.3%
Other Punctuation 21
 
0.2%
Other Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 549
 
5.4%
청 527
 
5.2%
시 512
 
5.0%
광 443
 
4.4%
원 361
 
3.5%
구 290
 
2.8%
강 243
 
2.4%
관 239
 
2.3%
화 237
 
2.3%
문 221
 
2.2%
Other values (304) 6556
64.4%
Uppercase Letter
ValueCountFrequency (%)
O 14
 
9.2%
N 14
 
9.2%
K 13
 
8.6%
B 13
 
8.6%
A 9
 
5.9%
G 9
 
5.9%
S 9
 
5.9%
H 9
 
5.9%
I 8
 
5.3%
C 7
 
4.6%
Other values (14) 47
30.9%
Lowercase Letter
ValueCountFrequency (%)
a 8
25.8%
c 7
22.6%
b 7
22.6%
t 2
 
6.5%
i 1
 
3.2%
o 1
 
3.2%
l 1
 
3.2%
e 1
 
3.2%
r 1
 
3.2%
g 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 15
37.5%
2 13
32.5%
4 3
 
7.5%
3 2
 
5.0%
9 2
 
5.0%
8 2
 
5.0%
5 1
 
2.5%
0 1
 
2.5%
6 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 14
66.7%
& 5
 
23.8%
· 1
 
4.8%
/ 1
 
4.8%
Math Symbol
ValueCountFrequency (%)
+ 677
100.0%
Space Separator
ValueCountFrequency (%)
655
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10185
86.1%
Common 1465
 
12.4%
Latin 183
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 549
 
5.4%
청 527
 
5.2%
시 512
 
5.0%
광 443
 
4.3%
원 361
 
3.5%
구 290
 
2.8%
강 243
 
2.4%
관 239
 
2.3%
화 237
 
2.3%
문 221
 
2.2%
Other values (305) 6563
64.4%
Latin
ValueCountFrequency (%)
O 14
 
7.7%
N 14
 
7.7%
K 13
 
7.1%
B 13
 
7.1%
A 9
 
4.9%
G 9
 
4.9%
S 9
 
4.9%
H 9
 
4.9%
a 8
 
4.4%
I 8
 
4.4%
Other values (25) 77
42.1%
Common
ValueCountFrequency (%)
+ 677
46.2%
655
44.7%
) 35
 
2.4%
( 34
 
2.3%
1 15
 
1.0%
, 14
 
1.0%
2 13
 
0.9%
& 5
 
0.3%
- 3
 
0.2%
4 3
 
0.2%
Other values (8) 11
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10178
86.0%
ASCII 1647
 
13.9%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 677
41.1%
655
39.8%
) 35
 
2.1%
( 34
 
2.1%
1 15
 
0.9%
O 14
 
0.9%
, 14
 
0.9%
N 14
 
0.9%
2 13
 
0.8%
K 13
 
0.8%
Other values (42) 163
 
9.9%
Hangul
ValueCountFrequency (%)
도 549
 
5.4%
청 527
 
5.2%
시 512
 
5.0%
광 443
 
4.4%
원 361
 
3.5%
구 290
 
2.8%
강 243
 
2.4%
관 239
 
2.3%
화 237
 
2.3%
문 221
 
2.2%
Other values (304) 6556
64.4%
None
ValueCountFrequency (%)
㈜ 7
87.5%
· 1
 
12.5%

전화번호
Text

MISSING 

Distinct863
Distinct (%)58.2%
Missing170
Missing (%)10.3%
Memory size13.0 KiB
2024-05-04T07:53:59.990418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.966959
Min length9

Characters and Unicode

Total characters17747
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique588 ?
Unique (%)39.6%

Sample

1st row033-647-6802
2nd row033-647-6808
3rd row033-647-6802
4th row033-640-5130
5th row054-380-6866
ValueCountFrequency (%)
053-661-2177 49
 
3.3%
033-241-1856 26
 
1.8%
031-687-0500 24
 
1.6%
051-749-6041 14
 
0.9%
031-550-2065 12
 
0.8%
061-240-8410 10
 
0.7%
070-8095-3899 9
 
0.6%
031-481-3040 9
 
0.6%
032-770-6923 8
 
0.5%
033-244-7556 8
 
0.5%
Other values (852) 1314
88.6%
2024-05-04T07:54:01.150205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2953
16.6%
0 2908
16.4%
3 2197
12.4%
2 1574
8.9%
5 1495
8.4%
6 1466
8.3%
4 1350
7.6%
1 1323
7.5%
7 959
 
5.4%
8 812
 
4.6%
Other values (2) 710
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14793
83.4%
Dash Punctuation 2953
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2908
19.7%
3 2197
14.9%
2 1574
10.6%
5 1495
10.1%
6 1466
9.9%
4 1350
9.1%
1 1323
8.9%
7 959
 
6.5%
8 812
 
5.5%
9 709
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 2953
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17747
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2953
16.6%
0 2908
16.4%
3 2197
12.4%
2 1574
8.9%
5 1495
8.4%
6 1466
8.3%
4 1350
7.6%
1 1323
7.5%
7 959
 
5.4%
8 812
 
4.6%
Other values (2) 710
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2953
16.6%
0 2908
16.4%
3 2197
12.4%
2 1574
8.9%
5 1495
8.4%
6 1466
8.3%
4 1350
7.6%
1 1323
7.5%
7 959
 
5.4%
8 812
 
4.6%
Other values (2) 710
 
4.0%

홈페이지주소
Text

MISSING 

Distinct710
Distinct (%)66.4%
Missing584
Missing (%)35.3%
Memory size13.0 KiB
2024-05-04T07:54:01.742959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length215
Mean length51.002806
Min length7

Characters and Unicode

Total characters54522
Distinct characters139
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique568 ?
Unique (%)53.1%

Sample

1st rowhttp://www.coffeefestival.net
2nd rowhttps://www.gncaf.or.kr/contents.asp?page=482
3rd rowhttps://www.gurye.go.kr/tour/detail.do?tourId=TOUR_0000000100&menuNo=104001002000
4th rowhttps://www.baekje.org/kor/
5th rowhttps://www.cccf.or.kr/Home/H40000/H40400/boardView?board_key=10597&search_type=1&search_keyword=EBB3B4EC9DB4ECA780+EC958AEC9584EB8F84+EBB3B4EC9DB4EB8A94
ValueCountFrequency (%)
http://www.ayac.or.kr 25
 
2.3%
https://tour.shinan.go.kr 20
 
1.9%
http://tbcf.or.kr 16
 
1.5%
http://www.guri.go.kr 12
 
1.1%
https://www.ansanart.com/index.do 12
 
1.1%
https://www.jinan.go.kr/festival 11
 
1.0%
https://www.seosan.go.kr/tour/index.do 11
 
1.0%
http://www.daegu.go.kr 11
 
1.0%
https://www2.ansan.go.kr/choiyongshin/main/main.do 9
 
0.8%
http://www.gochang.go.kr/tour 9
 
0.8%
Other values (696) 933
87.3%
2024-05-04T07:54:02.837092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3659
 
6.7%
. 2991
 
5.5%
w 2944
 
5.4%
t 2705
 
5.0%
o 2618
 
4.8%
r 2530
 
4.6%
0 2422
 
4.4%
e 2278
 
4.2%
a 1795
 
3.3%
s 1629
 
3.0%
Other values (129) 28951
53.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30567
56.1%
Other Punctuation 8188
 
15.0%
Decimal Number 8049
 
14.8%
Uppercase Letter 6024
 
11.0%
Math Symbol 959
 
1.8%
Connector Punctuation 599
 
1.1%
Other Letter 116
 
0.2%
Dash Punctuation 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 14
 
12.1%
축 12
 
10.3%
마 4
 
3.4%
화 4
 
3.4%
문 3
 
2.6%
계 2
 
1.7%
도 2
 
1.7%
영 2
 
1.7%
산 2
 
1.7%
악 2
 
1.7%
Other values (59) 69
59.5%
Lowercase Letter
ValueCountFrequency (%)
w 2944
 
9.6%
t 2705
 
8.8%
o 2618
 
8.6%
r 2530
 
8.3%
e 2278
 
7.5%
a 1795
 
5.9%
s 1629
 
5.3%
c 1532
 
5.0%
h 1505
 
4.9%
p 1316
 
4.3%
Other values (16) 9715
31.8%
Uppercase Letter
ValueCountFrequency (%)
E 1510
25.1%
B 1191
19.8%
C 1102
18.3%
A 785
13.0%
H 607
10.1%
D 419
 
7.0%
V 182
 
3.0%
F 56
 
0.9%
T 30
 
0.5%
I 21
 
0.3%
Other values (14) 121
 
2.0%
Decimal Number
ValueCountFrequency (%)
0 2422
30.1%
8 1198
14.9%
9 1182
14.7%
4 1036
12.9%
1 631
 
7.8%
2 411
 
5.1%
5 399
 
5.0%
6 267
 
3.3%
7 253
 
3.1%
3 250
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 3659
44.7%
. 2991
36.5%
: 904
 
11.0%
& 370
 
4.5%
? 263
 
3.2%
, 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 624
65.1%
+ 335
34.9%
Connector Punctuation
ValueCountFrequency (%)
_ 599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36591
67.1%
Common 17815
32.7%
Hangul 116
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 14
 
12.1%
축 12
 
10.3%
마 4
 
3.4%
화 4
 
3.4%
문 3
 
2.6%
계 2
 
1.7%
도 2
 
1.7%
영 2
 
1.7%
산 2
 
1.7%
악 2
 
1.7%
Other values (59) 69
59.5%
Latin
ValueCountFrequency (%)
w 2944
 
8.0%
t 2705
 
7.4%
o 2618
 
7.2%
r 2530
 
6.9%
e 2278
 
6.2%
a 1795
 
4.9%
s 1629
 
4.5%
c 1532
 
4.2%
E 1510
 
4.1%
h 1505
 
4.1%
Other values (40) 15545
42.5%
Common
ValueCountFrequency (%)
/ 3659
20.5%
. 2991
16.8%
0 2422
13.6%
8 1198
 
6.7%
9 1182
 
6.6%
4 1036
 
5.8%
: 904
 
5.1%
1 631
 
3.5%
= 624
 
3.5%
_ 599
 
3.4%
Other values (10) 2569
14.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54406
99.8%
Hangul 116
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3659
 
6.7%
. 2991
 
5.5%
w 2944
 
5.4%
t 2705
 
5.0%
o 2618
 
4.8%
r 2530
 
4.7%
0 2422
 
4.5%
e 2278
 
4.2%
a 1795
 
3.3%
s 1629
 
3.0%
Other values (60) 28835
53.0%
Hangul
ValueCountFrequency (%)
제 14
 
12.1%
축 12
 
10.3%
마 4
 
3.4%
화 4
 
3.4%
문 3
 
2.6%
계 2
 
1.7%
도 2
 
1.7%
영 2
 
1.7%
산 2
 
1.7%
악 2
 
1.7%
Other values (59) 69
59.5%

관련정보
Text

MISSING 

Distinct141
Distinct (%)35.1%
Missing1251
Missing (%)75.7%
Memory size13.0 KiB
2024-05-04T07:54:03.276445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length157
Median length72
Mean length11.405473
Min length1

Characters and Unicode

Total characters4585
Distinct characters410
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)23.6%

Sample

1st row프로그램+행사장안내 등
2nd row축제소개+사진자료 등
3rd row전시관람
4th row전시관람
5th row공연
ValueCountFrequency (%)
전시관람 71
 
10.3%
공연관람 58
 
8.4%
행사+축제 25
 
3.6%
apap 25
 
3.6%
김중업박물관 25
 
3.6%
안양예술공원 25
 
3.6%
등 21
 
3.0%
특강+강좌 19
 
2.8%
공연 10
 
1.5%
화도진공원+수도국산달동네박물관+배다리헌책방거리 6
 
0.9%
Other values (304) 404
58.6%
2024-05-04T07:54:04.411359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 318
 
6.9%
287
 
6.3%
관 205
 
4.5%
공 147
 
3.2%
람 133
 
2.9%
전 114
 
2.5%
시 109
 
2.4%
연 91
 
2.0%
사 88
 
1.9%
원 86
 
1.9%
Other values (400) 3007
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3673
80.1%
Math Symbol 321
 
7.0%
Space Separator 287
 
6.3%
Uppercase Letter 127
 
2.8%
Lowercase Letter 75
 
1.6%
Other Punctuation 45
 
1.0%
Decimal Number 25
 
0.5%
Close Punctuation 15
 
0.3%
Open Punctuation 15
 
0.3%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 205
 
5.6%
공 147
 
4.0%
람 133
 
3.6%
전 114
 
3.1%
시 109
 
3.0%
연 91
 
2.5%
사 88
 
2.4%
원 86
 
2.3%
제 74
 
2.0%
축 63
 
1.7%
Other values (339) 2563
69.8%
Lowercase Letter
ValueCountFrequency (%)
t 9
12.0%
w 9
12.0%
s 8
 
10.7%
p 6
 
8.0%
i 5
 
6.7%
o 4
 
5.3%
g 3
 
4.0%
h 3
 
4.0%
e 3
 
4.0%
m 3
 
4.0%
Other values (12) 22
29.3%
Uppercase Letter
ValueCountFrequency (%)
P 51
40.2%
A 50
39.4%
M 6
 
4.7%
U 2
 
1.6%
Z 2
 
1.6%
D 2
 
1.6%
B 2
 
1.6%
T 2
 
1.6%
Y 2
 
1.6%
C 1
 
0.8%
Other values (7) 7
 
5.5%
Decimal Number
ValueCountFrequency (%)
2 5
20.0%
4 4
16.0%
0 4
16.0%
5 2
 
8.0%
9 2
 
8.0%
3 2
 
8.0%
1 2
 
8.0%
8 2
 
8.0%
6 2
 
8.0%
Other Punctuation
ValueCountFrequency (%)
, 21
46.7%
. 10
22.2%
/ 7
 
15.6%
: 6
 
13.3%
? 1
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 318
99.1%
~ 2
 
0.6%
= 1
 
0.3%
Space Separator
ValueCountFrequency (%)
287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3671
80.1%
Common 710
 
15.5%
Latin 202
 
4.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 205
 
5.6%
공 147
 
4.0%
람 133
 
3.6%
전 114
 
3.1%
시 109
 
3.0%
연 91
 
2.5%
사 88
 
2.4%
원 86
 
2.3%
제 74
 
2.0%
축 63
 
1.7%
Other values (337) 2561
69.8%
Latin
ValueCountFrequency (%)
P 51
25.2%
A 50
24.8%
t 9
 
4.5%
w 9
 
4.5%
s 8
 
4.0%
M 6
 
3.0%
p 6
 
3.0%
i 5
 
2.5%
o 4
 
2.0%
g 3
 
1.5%
Other values (29) 51
25.2%
Common
ValueCountFrequency (%)
+ 318
44.8%
287
40.4%
, 21
 
3.0%
) 15
 
2.1%
( 15
 
2.1%
. 10
 
1.4%
/ 7
 
1.0%
: 6
 
0.8%
2 5
 
0.7%
4 4
 
0.6%
Other values (12) 22
 
3.1%
Han
ValueCountFrequency (%)
通 1
50.0%
軍 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3668
80.0%
ASCII 911
 
19.9%
Compat Jamo 3
 
0.1%
CJK 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 318
34.9%
287
31.5%
P 51
 
5.6%
A 50
 
5.5%
, 21
 
2.3%
) 15
 
1.6%
( 15
 
1.6%
. 10
 
1.1%
t 9
 
1.0%
w 9
 
1.0%
Other values (50) 126
 
13.8%
Hangul
ValueCountFrequency (%)
관 205
 
5.6%
공 147
 
4.0%
람 133
 
3.6%
전 114
 
3.1%
시 109
 
3.0%
연 91
 
2.5%
사 88
 
2.4%
원 86
 
2.3%
제 74
 
2.0%
축 63
 
1.7%
Other values (336) 2558
69.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
CJK
ValueCountFrequency (%)
通 1
50.0%
軍 1
50.0%
Punctuation
ValueCountFrequency (%)
” 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct905
Distinct (%)61.7%
Missing186
Missing (%)11.3%
Memory size13.0 KiB
2024-05-04T07:54:05.102291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length31
Mean length20.29107
Min length9

Characters and Unicode

Total characters29767
Distinct characters391
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

Unique684 ?
Unique (%)46.6%

Sample

1st row강원도 강릉시 임영로131번길 6 (용강동)
2nd row강원도 강릉시 경강로 2021번길9-1
3rd row강원도 강릉시 경강로 2111
4th row강원도 강릉시 경강로 2112
5th row대구광역시 군위군 효령면 장군당 1길 24-6
ValueCountFrequency (%)
강원도 282
 
4.3%
춘천시 214
 
3.2%
경기도 198
 
3.0%
제주특별자치도 152
 
2.3%
대구광역시 104
 
1.6%
서울특별시 98
 
1.5%
경상남도 92
 
1.4%
중구 90
 
1.4%
충청남도 83
 
1.3%
전라남도 78
 
1.2%
Other values (1814) 5220
79.0%
2024-05-04T07:54:06.342776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5144
 
17.3%
시 1233
 
4.1%
도 1195
 
4.0%
로 1099
 
3.7%
1 1068
 
3.6%
2 671
 
2.3%
길 600
 
2.0%
구 586
 
2.0%
원 528
 
1.8%
천 468
 
1.6%
Other values (381) 17175
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19471
65.4%
Space Separator 5144
 
17.3%
Decimal Number 4622
 
15.5%
Dash Punctuation 219
 
0.7%
Close Punctuation 146
 
0.5%
Open Punctuation 146
 
0.5%
Other Punctuation 11
 
< 0.1%
Math Symbol 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1233
 
6.3%
도 1195
 
6.1%
로 1099
 
5.6%
길 600
 
3.1%
구 586
 
3.0%
원 528
 
2.7%
천 468
 
2.4%
동 442
 
2.3%
강 437
 
2.2%
남 395
 
2.0%
Other values (361) 12488
64.1%
Decimal Number
ValueCountFrequency (%)
1 1068
23.1%
2 671
14.5%
3 444
9.6%
5 417
 
9.0%
7 409
 
8.8%
4 376
 
8.1%
6 345
 
7.5%
0 330
 
7.1%
9 283
 
6.1%
8 279
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
K 1
25.0%
T 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
5144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19471
65.4%
Common 10292
34.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1233
 
6.3%
도 1195
 
6.1%
로 1099
 
5.6%
길 600
 
3.1%
구 586
 
3.0%
원 528
 
2.7%
천 468
 
2.4%
동 442
 
2.3%
강 437
 
2.2%
남 395
 
2.0%
Other values (361) 12488
64.1%
Common
ValueCountFrequency (%)
5144
50.0%
1 1068
 
10.4%
2 671
 
6.5%
3 444
 
4.3%
5 417
 
4.1%
7 409
 
4.0%
4 376
 
3.7%
6 345
 
3.4%
0 330
 
3.2%
9 283
 
2.7%
Other values (6) 805
 
7.8%
Latin
ValueCountFrequency (%)
P 1
25.0%
K 1
25.0%
T 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19471
65.4%
ASCII 10296
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5144
50.0%
1 1068
 
10.4%
2 671
 
6.5%
3 444
 
4.3%
5 417
 
4.1%
7 409
 
4.0%
4 376
 
3.7%
6 345
 
3.4%
0 330
 
3.2%
9 283
 
2.7%
Other values (10) 809
 
7.9%
Hangul
ValueCountFrequency (%)
시 1233
 
6.3%
도 1195
 
6.1%
로 1099
 
5.6%
길 600
 
3.1%
구 586
 
3.0%
원 528
 
2.7%
천 468
 
2.4%
동 442
 
2.3%
강 437
 
2.2%
남 395
 
2.0%
Other values (361) 12488
64.1%

소재지지번주소
Text

MISSING 

Distinct799
Distinct (%)62.6%
Missing376
Missing (%)22.7%
Memory size13.0 KiB
2024-05-04T07:54:07.015523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length19.800313
Min length14

Characters and Unicode

Total characters25285
Distinct characters312
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

Unique626 ?
Unique (%)49.0%

Sample

1st row강원도 강릉시 용강동 58-1
2nd row강원도 강릉시 명주동 49-1
3rd row강원도 강릉시 임당동 106-1
4th row강원도 강릉시 임당동 113-2
5th row대구광역시 군위군 효령면 장군리 116-3
ValueCountFrequency (%)
강원도 295
 
5.1%
춘천시 214
 
3.7%
경기도 202
 
3.5%
전라남도 83
 
1.4%
대구광역시 78
 
1.4%
강원특별자치도 77
 
1.3%
경상남도 76
 
1.3%
충청남도 73
 
1.3%
서울특별시 72
 
1.3%
중구 63
 
1.1%
Other values (1737) 4525
78.6%
2024-05-04T07:54:08.170593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4481
 
17.7%
도 1029
 
4.1%
1 1024
 
4.0%
시 1020
 
4.0%
동 969
 
3.8%
- 775
 
3.1%
2 664
 
2.6%
3 538
 
2.1%
구 514
 
2.0%
원 490
 
1.9%
Other values (302) 13781
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15336
60.7%
Decimal Number 4662
 
18.4%
Space Separator 4481
 
17.7%
Dash Punctuation 775
 
3.1%
Uppercase Letter 17
 
0.1%
Other Punctuation 8
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1029
 
6.7%
시 1020
 
6.7%
동 969
 
6.3%
구 514
 
3.4%
원 490
 
3.2%
천 474
 
3.1%
리 467
 
3.0%
강 424
 
2.8%
산 376
 
2.5%
남 351
 
2.3%
Other values (281) 9222
60.1%
Decimal Number
ValueCountFrequency (%)
1 1024
22.0%
2 664
14.2%
3 538
11.5%
5 454
9.7%
7 371
 
8.0%
6 367
 
7.9%
8 325
 
7.0%
9 319
 
6.8%
4 319
 
6.8%
0 281
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
T 6
35.3%
K 6
35.3%
G 5
29.4%
Other Punctuation
ValueCountFrequency (%)
& 5
62.5%
, 2
 
25.0%
/ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
4481
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 775
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15336
60.7%
Common 9932
39.3%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1029
 
6.7%
시 1020
 
6.7%
동 969
 
6.3%
구 514
 
3.4%
원 490
 
3.2%
천 474
 
3.1%
리 467
 
3.0%
강 424
 
2.8%
산 376
 
2.5%
남 351
 
2.3%
Other values (281) 9222
60.1%
Common
ValueCountFrequency (%)
4481
45.1%
1 1024
 
10.3%
- 775
 
7.8%
2 664
 
6.7%
3 538
 
5.4%
5 454
 
4.6%
7 371
 
3.7%
6 367
 
3.7%
8 325
 
3.3%
9 319
 
3.2%
Other values (8) 614
 
6.2%
Latin
ValueCountFrequency (%)
T 6
35.3%
K 6
35.3%
G 5
29.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15336
60.7%
ASCII 9949
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4481
45.0%
1 1024
 
10.3%
- 775
 
7.8%
2 664
 
6.7%
3 538
 
5.4%
5 454
 
4.6%
7 371
 
3.7%
6 367
 
3.7%
8 325
 
3.3%
9 319
 
3.2%
Other values (11) 631
 
6.3%
Hangul
ValueCountFrequency (%)
도 1029
 
6.7%
시 1020
 
6.7%
동 969
 
6.3%
구 514
 
3.4%
원 490
 
3.2%
천 474
 
3.1%
리 467
 
3.0%
강 424
 
2.8%
산 376
 
2.5%
남 351
 
2.3%
Other values (281) 9222
60.1%

위도
Real number (ℝ)

MISSING 

Distinct833
Distinct (%)61.3%
Missing293
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean36.379281
Minimum33.166226
Maximum38.439745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.7 KiB
2024-05-04T07:54:08.714534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.166226
5-th percentile33.330008
Q135.376993
median36.778857
Q337.602307
95-th percentile37.883163
Maximum38.439745
Range5.2735192
Interquartile range (IQR)2.225313

Descriptive statistics

Standard deviation1.4547668
Coefficient of variation (CV)0.039988883
Kurtosis-0.52845428
Mean36.379281
Median Absolute Deviation (MAD)1.0766058
Skewness-0.74512627
Sum49475.822
Variance2.1163464
MonotonicityNot monotonic
2024-05-04T07:54:09.217846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.16313992 30
 
1.8%
37.88237413 28
 
1.7%
35.86339725 19
 
1.1%
37.10051315 16
 
1.0%
37.87261579 15
 
0.9%
37.390137 15
 
0.9%
35.8692058 13
 
0.8%
37.574478 12
 
0.7%
37.7351772 12
 
0.7%
37.299644 9
 
0.5%
Other values (823) 1191
72.1%
(Missing) 293
 
17.7%
ValueCountFrequency (%)
33.1662259 1
0.1%
33.1688979 1
0.1%
33.21449893 1
0.1%
33.22806467 1
0.1%
33.2337406 1
0.1%
33.23654976 2
0.1%
33.23890498 1
0.1%
33.23921289 1
0.1%
33.239402 1
0.1%
33.2399956 1
0.1%
ValueCountFrequency (%)
38.4397451392 1
0.1%
38.37632274 2
0.1%
38.249835 2
0.1%
38.20344715 1
0.1%
38.188522 2
0.1%
38.1871925438 2
0.1%
38.1867615323 2
0.1%
38.161341 2
0.1%
38.112578 1
0.1%
38.1125016134 1
0.1%

경도
Real number (ℝ)

MISSING 

Distinct821
Distinct (%)60.4%
Missing293
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean127.61166
Minimum126.07251
Maximum130.9097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.7 KiB
2024-05-04T07:54:09.687871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.07251
5-th percentile126.49568
Q1126.88822
median127.57506
Q3128.26228
95-th percentile129.16353
Maximum130.9097
Range4.8371886
Interquartile range (IQR)1.3740661

Descriptive statistics

Standard deviation0.88810876
Coefficient of variation (CV)0.006959464
Kurtosis-0.324881
Mean127.61166
Median Absolute Deviation (MAD)0.68692215
Skewness0.62190829
Sum173551.86
Variance0.78873718
MonotonicityNot monotonic
2024-05-04T07:54:10.241992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1635303 30
 
1.8%
128.5965647 19
 
1.1%
127.73137363 17
 
1.0%
129.0082172 16
 
1.0%
126.9613287 15
 
0.9%
127.72934048 14
 
0.8%
128.5954708 13
 
0.8%
127.0338894 12
 
0.7%
127.132863 12
 
0.7%
126.8627402 9
 
0.5%
Other values (811) 1203
72.8%
(Missing) 293
 
17.7%
ValueCountFrequency (%)
126.0725117 1
 
0.1%
126.1661787 1
 
0.1%
126.2101823 1
 
0.1%
126.2181908 1
 
0.1%
126.239426 1
 
0.1%
126.2396912 4
0.2%
126.2520491 1
 
0.1%
126.259044 1
 
0.1%
126.2604601916 1
 
0.1%
126.2685441 1
 
0.1%
ValueCountFrequency (%)
130.9097003 2
0.1%
130.9082172 1
0.1%
130.8875026 1
0.1%
130.8735494 1
0.1%
130.800884 1
0.1%
129.4599525 1
0.1%
129.446771 1
0.1%
129.4327723 1
0.1%
129.4288840223 1
0.1%
129.4247605344 1
0.1%

데이터기준일자
Date

Distinct136
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2018-05-01 00:00:00
Maximum2024-04-03 00:00:00
2024-05-04T07:54:10.804595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:54:11.253347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct255
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-04T07:54:12.218171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters11571
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

Unique73 ?
Unique (%)4.4%

Sample

1st row4200000
2nd row4200000
3rd row4200000
4th row4200000
5th row5140000
ValueCountFrequency (%)
4180000 200
 
12.1%
6500000 114
 
6.9%
b551011 65
 
3.9%
3410000 49
 
3.0%
6520000 34
 
2.1%
6270000 33
 
2.0%
3330000 30
 
1.8%
3820000 28
 
1.7%
3830000 25
 
1.5%
3930000 24
 
1.5%
Other values (245) 1051
63.6%
2024-05-04T07:54:13.424269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6657
57.5%
4 968
 
8.4%
1 821
 
7.1%
3 776
 
6.7%
5 678
 
5.9%
6 437
 
3.8%
8 425
 
3.7%
2 329
 
2.8%
9 232
 
2.0%
7 183
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11506
99.4%
Uppercase Letter 65
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6657
57.9%
4 968
 
8.4%
1 821
 
7.1%
3 776
 
6.7%
5 678
 
5.9%
6 437
 
3.8%
8 425
 
3.7%
2 329
 
2.9%
9 232
 
2.0%
7 183
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11506
99.4%
Latin 65
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6657
57.9%
4 968
 
8.4%
1 821
 
7.1%
3 776
 
6.7%
5 678
 
5.9%
6 437
 
3.8%
8 425
 
3.7%
2 329
 
2.9%
9 232
 
2.0%
7 183
 
1.6%
Latin
ValueCountFrequency (%)
B 65
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6657
57.5%
4 968
 
8.4%
1 821
 
7.1%
3 776
 
6.7%
5 678
 
5.9%
6 437
 
3.8%
8 425
 
3.7%
2 329
 
2.8%
9 232
 
2.0%
7 183
 
1.6%

제공기관명
Text

Distinct255
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-04T07:54:14.271949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.8638838
Min length4

Characters and Unicode

Total characters12999
Distinct characters140
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

Unique73 ?
Unique (%)4.4%

Sample

1st row강원도 강릉시
2nd row강원도 강릉시
3rd row강원도 강릉시
4th row강원도 강릉시
5th row경상북도 군위군
ValueCountFrequency (%)
강원도 272
 
9.0%
춘천시 216
 
7.1%
경기도 208
 
6.9%
제주특별자치도 165
 
5.4%
대구광역시 116
 
3.8%
서울특별시 107
 
3.5%
경상남도 105
 
3.5%
전라남도 95
 
3.1%
충청남도 90
 
3.0%
강원특별자치도 90
 
3.0%
Other values (207) 1566
51.7%
2024-05-04T07:54:15.572351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1377
 
10.6%
도 1227
 
9.4%
시 1136
 
8.7%
구 448
 
3.4%
원 434
 
3.3%
광 407
 
3.1%
강 401
 
3.1%
별 396
 
3.0%
특 396
 
3.0%
경 372
 
2.9%
Other values (130) 6405
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11622
89.4%
Space Separator 1377
 
10.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1227
 
10.6%
시 1136
 
9.8%
구 448
 
3.9%
원 434
 
3.7%
광 407
 
3.5%
강 401
 
3.5%
별 396
 
3.4%
특 396
 
3.4%
경 372
 
3.2%
남 339
 
2.9%
Other values (129) 6066
52.2%
Space Separator
ValueCountFrequency (%)
1377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11622
89.4%
Common 1377
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1227
 
10.6%
시 1136
 
9.8%
구 448
 
3.9%
원 434
 
3.7%
광 407
 
3.5%
강 401
 
3.5%
별 396
 
3.4%
특 396
 
3.4%
경 372
 
3.2%
남 339
 
2.9%
Other values (129) 6066
52.2%
Common
ValueCountFrequency (%)
1377
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11622
89.4%
ASCII 1377
 
10.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1377
100.0%
Hangul
ValueCountFrequency (%)
도 1227
 
10.6%
시 1136
 
9.8%
구 448
 
3.9%
원 434
 
3.7%
광 407
 
3.5%
강 401
 
3.5%
별 396
 
3.4%
특 396
 
3.4%
경 372
 
3.2%
남 339
 
2.9%
Other values (129) 6066
52.2%

Interactions

2024-05-04T07:53:43.045197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:53:42.301999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:53:43.428367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:53:42.674189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T07:54:15.994470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.625
경도0.6251.000
2024-05-04T07:54:16.238873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.183
경도0.1831.000

Missing values

2024-05-04T07:53:44.000950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:53:44.993122image/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.
2024-05-04T07:53:45.665140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

축제명개최장소축제시작일자축제종료일자축제내용주관기관명주최기관명후원기관명전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도데이터기준일자제공기관코드제공기관명
0강릉커피축제강릉대도호부 관아지 등2022-10-062022-10-09커피경연대회(바리스타+핸드드립+커핑+마카롱)+커피체험(로스팅+추출+커핑+공예품 등)+전시+공연 등강릉문화재단강원도 강릉시청문화체육관광부+강원도청033-647-6802http://www.coffeefestival.net프로그램+행사장안내 등강원도 강릉시 임영로131번길 6 (용강동)강원도 강릉시 용강동 58-137.752945128.8919032022-12-074200000강원도 강릉시
1전국생활문화축제 in강릉강릉명주예술마당2022-10-272022-10-30전국 생활문화 활동 발표+기획 프로그램 등강릉문화재단강원도 강릉시청지역문화진흥원033-647-6808<NA><NA>강원도 강릉시 경강로 2021번길9-1강원도 강릉시 명주동 49-137.750403128.8898122022-12-074200000강원도 강릉시
22022 강릉와인축제강릉 월화거리 일원(문선빌딩 방면)2022-12-092022-12-11도전 와인 골든벨+선셋 와인 아워+시음존 등 운영강릉문화재단강원도 강릉시청강원도청033-647-6802https://www.gncaf.or.kr/contents.asp?page=482축제소개+사진자료 등강원도 강릉시 경강로 2111강원도 강릉시 임당동 106-137.755892128.8974692022-12-074200000강원도 강릉시
32022 강릉누들축제강릉 월화거리 일원(홈플러스 방면)2022-12-162022-12-18누들 쿠킹쇼, 쿠킹클래스, 시식회, 대형 수제비 만들기 등강원도 강릉시청강원도 강릉시청강원도 강릉시청033-640-5130<NA><NA>강원도 강릉시 경강로 2112강원도 강릉시 임당동 113-237.755386128.8981652022-12-074200000강원도 강릉시
4군위 삼장군단오축제효령면 고지바위권역다목적센터 일원2022-06-032022-06-03단오축제군위문화원군위문화원대구광역시청+대구광역시 군위군청054-380-6866<NA><NA>대구광역시 군위군 효령면 장군당 1길 24-6대구광역시 군위군 효령면 장군리 116-3<NA><NA>2023-07-135140000경상북도 군위군
5김수환추기경 사랑과 나눔 문화축전김수환추기경 사랑과 나눔공원 일원2022-10-292022-10-29김수환추기경 문화축전매일신문사매일신문사대구광역시청+대구광역시 군위군청054-380-6065<NA><NA>대구광역시 군위군 군위읍 군위금성로 270대구광역시 군위군 군위읍 용대리 산 66-5<NA><NA>2023-07-135140000경상북도 군위군
6구례산수유꽃축제산동면2023-03-112023-03-19산수유꽃 프로그램구례산수유꽃축제추진위원회구례산수유꽃축제추진위원회전라남도 구례군청061-780-2390https://www.gurye.go.kr/tour/detail.do?tourId=TOUR_0000000100&menuNo=104001002000<NA><NA>전라남도 구례군 산동면 좌사리 83135.318767127.4705342023-12-014870000전라남도 구례군
7마곡사 신록축제사곡면 운암리 마곡사일원2022-05-072022-05-08전시 운영+백범명상길 걷기+마곡사 보물찾기 등마곡사신록축제추진위원회공주시<NA>041-840-2056<NA><NA>충청남도 공주시 사곡면 마곡사로 966 마곡사충청남도 공주시 사곡면 운암리 56736.557406127.0116032022-11-214500000충청남도 공주시
8제68회 백제문화제금강신관공원2022-10-012022-10-10웅진성퍼레이드+체험마당+무대공연+농특산품전시 및 판매백제문화선양위원회백제문화제추진위원회<NA>041-840-8112https://www.baekje.org/kor/<NA>충청남도 공주시 신관동 553충청남도 공주시 신관동 55336.478351127.1204242022-11-214500000충청남도 공주시
9제5회 겨울공주 군밤축제온라인2022-01-292022-02-20알밤 토크콘서트+공주알밤 디저트 UCC공모전+휴게소 홍보 등겨울공주 군밤축제추진위원회공주시<NA>041-840-2056<NA><NA>충청남도 공주시 금학동 111-1충청남도 공주시 금학동 111-136.433369127.1240382022-11-214500000충청남도 공주시
축제명개최장소축제시작일자축제종료일자축제내용주관기관명주최기관명후원기관명전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도데이터기준일자제공기관코드제공기관명
1643금강보행교 거점공연이응다리(금강보행교)2023-04-012023-09-23시민들의 문화예술 관람 문턱을 낮추고 일상에 활력을 주는 이응다리 거점공연+(토요일)걷다보니 버스킹+어쩌다 마주친 공연+오오 이응놀이터+다리 위 서커스세종특별자치시 문화재단세종특별자치시청<NA>044-850-0557https://www.sjcf.or.kr/index.do<NA><NA>세종특별자치시 세종동 735-48436.48477127.2879232024-01-165690000세종특별자치시
1644금강청소년축제이응다리(금강보행교) 일원2023-09-022023-09-02청소년들의 끼와 열정을 펼치는 청소년 문화예술 축제+경연대회+토크콘서트+축하공연+체험부스세종특별자치시 문화재단세종특별자치시청<NA>044-850-0558https://www.sjcf.or.kr/index.do<NA><NA>세종특별자치시 세종동 735-48537.48477128.2879232024-01-165690000세종특별자치시
16453회 금남면 강변벚꽃십리길 축제금남면 부용리 일원2023-04-082023-04-09드론사진대회+체험부스운영(농산물 판매,꽃차)+푸드트럭+잔치국수+포토존세종특별자치시 금남면세종특별자치시 금남면<NA><NA><NA><NA><NA>세종특별자치시 금남면 부용리 44-1<NA><NA>2024-01-165690000세종특별자치시
1646세종빛축제이응다리+금강수변2023-12-022023-12-31미디어파사드+빛조형물+미디어갤러리 등세종특별자치시세종특별자치시<NA>044-300-5832http://sejong.go.kr<NA><NA>세종특별자치시 세종동 735-48436.48477127.2879232024-01-165690000세종특별자치시
1647구미 라면축제구미역(원평동)일원2023-11-172023-11-19공연+푸드존경상북도 구미시청경상북도 구미시청농심+그린패키지솔루션+DGB대구은행054-480-2652구미라면.com<NA>경상북도 구미시 구미중앙로 76경상북도 구미시 원평동 123-4536.12833128.3309392024-01-165080000경상북도 구미시
1648울산쇠부리축제북구청 광장+달천철장 일원2024-05-102024-05-12체험+전시+학술울산쇠부리축제 추진위원회울산광역시 북구청<NA>052-293-3500www.soeburi.org<NA>울산광역시 북구 산업로 1010, 울산광역시 북구 달천철장길 58울산광역시 북구 연암동 1004-1, 울산광역시 북구 달천동 1-735.582707129.3612542024-01-153720000울산광역시 북구
1649제11회 낙동강 구포나루 축제화명생태공원 연꽃단지 일원2024-10-112024-10-13개막식+체험+공연+전시등부산광역시 북구부산광역시 북구부산광역시051-309-4522https://www.bsbukgu.go.kr/tour/index.bsbukgu?menuCd=DOM_000000402001001000<NA>부산광역시 북구 낙동대로1570번길 33(구포동)부산광역시 북구 구포동 1124-135.196884128.9900972024-01-083320000부산광역시 북구
16502024 경산자인단오제경산시 자인면 계정숲2024-06-082024-06-10무형문화재 공연 및 각종 체험부대행사경산자인단오제보존회경산자인단오제보존회문화재청+경상북도+경상북도 경산시053-856-5765jaindano.or.kr<NA>경상북도 경산시 자인면 계정길 68경상북도 경산시 자인면 서부리 70<NA><NA>2024-01-065130000경상북도 경산시
16512023 경산갓바위소원성취축제갓바위공영주차장2023-09-022023-09-03소원성취 다례봉행+음악회 및 각종부대행사갓바위축제추진위원회갓바위축제추진위원회경상북도+경상북도 경산시053-851-0022<NA><NA>경상북도 경산시 와촌면 와천서길 341경상북도 경산시 와촌면 동강리 48-2<NA><NA>2024-01-065130000경상북도 경산시
16522023나주축제, 영산강은 살아있다영산강둔치체육공원2023-10-202023-10-29마한문화제와 지역 소규모 축제·행사 연계한 통합축제나주시축제추진위원회전라남도 나주시전라남도 나주시청061-339-8721http://www.naju.go.kr/tour/국립나주박물관+반남 고분군+자미산<NA>전라남도 나주시 삼영동 117-635.001589126.7040552023-12-064830000전라남도 나주시

Duplicate rows

Most frequently occurring

축제명개최장소축제시작일자축제종료일자축제내용주관기관명주최기관명후원기관명전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도데이터기준일자제공기관코드제공기관명# duplicates
0도봉 과학축전도봉구청 로비, 아뜨리움, 대강당, 광장 등2015-10-232015-10-28과학 체험· 전시·교육·이벤트 마당 등서울특별시 도봉구청서울특별시 도봉구청<NA>02-2091-2316http://science.dobong.go.kr<NA>서울특별시 도봉구 마들로 656<NA>37.668629127.047052018-05-013090000서울특별시 도봉구2
1도봉구 등축제우이천2015-09-112015-09-30둘리와 친구들과 어우러지는 범선, 동물친구들 등과 추석을 앞두고 있어 전통춤 시리즈로 구성하여 등 전시서울특별시 도봉구청서울특별시 도봉구청<NA>02-2091-2254<NA><NA>서울특별시 도봉구<NA>37.661703127.0382012018-05-013090000서울특별시 도봉구2
2도봉구민 건강축제도봉구청, 중랑천변2015-10-162015-10-17도봉구민 걷기대회, 장애체험, 가상음주체험, 유방암검진, 신장초음파 검사, 건강관련 패널전시, 건강강좌 등서울특별시 도봉구청서울특별시 도봉구청<NA>02-2091-4422<NA><NA>서울특별시 도봉구 마들로 656<NA>37.668629127.047052018-05-013090000서울특별시 도봉구2
3도봉산 산사축제도봉산 일대2015-10-022015-10-03산사음악회, 영산재, 사찰음식전 등서울특별시 도봉구청서울특별시 도봉구청<NA>02-905-4026<NA><NA>서울특별시 도봉구<NA>37.686469127.0339682018-05-013090000서울특별시 도봉구2
4도봉서원 춘·추향제도봉서원2015-04-282015-10-22분향례, 전폐례, 초헌례, 아헌례, 종헌례, 음복례 등 제례, 추모음악회서울특별시 도봉구청서울특별시 도봉구청,(사)도봉서원<NA>02-905-4026<NA><NA>서울특별시 도봉구 도봉산길 90<NA>37.685383127.0325092018-05-013090000서울특별시 도봉구2
5정월대보름 큰잔치도봉구청 광장, 중랑천변2015-03-052015-03-05길놀이, 풍물놀이, 소원지 붙이기, 달집태우기, 민속놀이 체험마당,청소년 동아리 프로그램 공연 및 솟대외줄타기 공연서울특별시 도봉구청서울특별시 도봉구청<NA>02-2091-2254<NA><NA>서울특별시 도봉구 마들로 656<NA>37.670777127.0483772018-05-013090000서울특별시 도봉구2
6정의공주와 함께 하는 도봉 한글잔치방학동 원당샘공원2015-10-092015-10-09문화예술공연, 백일장 및 사생대회, 전통놀이체험 등서울특별시 도봉구청서울특별시 도봉구청, 도봉문화원<NA>02-905-4026<NA><NA>서울특별시 도봉구 원당샘공원<NA>37.66667127.033752018-05-013090000서울특별시 도봉구2