Overview

Dataset statistics

Number of variables17
Number of observations2178
Missing cells3448
Missing cells (%)9.3%
Duplicate rows26
Duplicate rows (%)1.2%
Total size in memory291.5 KiB
Average record size in memory137.1 B

Variable types

Numeric1
Categorical4
Text11
Boolean1

Dataset

Description지역문화재 활용사업 현황은 생생문화재, 문화재야행 등 지역별 운영된 무화재 활용사업 정보를 대상문화재, 사업명, 프로그램 유형, 주관단체 등의 세부항목으로 확인 할 수 있습니다.
Author문화재청
URLhttps://www.data.go.kr/data/15091660/fileData.do

Alerts

Dataset has 26 (1.2%) duplicate rowsDuplicates
문화재 유형 is highly overall correlated with 프로그램유형High correlation
프로그램유형 is highly overall correlated with 문화재 유형High correlation
연계프로그램 구분 is highly imbalanced (65.4%)Imbalance
상시여부 is highly imbalanced (65.8%)Imbalance
사회적약자 has 1804 (82.8%) missing valuesMissing
구군 has 65 (3.0%) missing valuesMissing
링크(URL) has 992 (45.5%) missing valuesMissing
기타사항 has 557 (25.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:51:21.935448
Analysis finished2023-12-12 08:51:25.609726
Duration3.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0684114
Minimum5
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T17:51:25.674551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median8
Q310
95-th percentile11
Maximum12
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0360561
Coefficient of variation (CV)0.25234907
Kurtosis-1.2660155
Mean8.0684114
Median Absolute Deviation (MAD)2
Skewness0.16897704
Sum17573
Variance4.1455244
MonotonicityNot monotonic
2023-12-12T17:51:25.791404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
10 455
20.9%
7 397
18.2%
8 387
17.8%
6 384
17.6%
11 297
13.6%
5 217
10.0%
12 41
 
1.9%
ValueCountFrequency (%)
5 217
10.0%
6 384
17.6%
7 397
18.2%
8 387
17.8%
10 455
20.9%
11 297
13.6%
12 41
 
1.9%
ValueCountFrequency (%)
12 41
 
1.9%
11 297
13.6%
10 455
20.9%
8 387
17.8%
7 397
18.2%
6 384
17.6%
5 217
10.0%

문화재 유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
살아숨쉬는향교서원
1032 
생생문화재
706 
전통산사문화재
231 
고택종갓집
198 
문화재야행
 
11

Length

Max length9
Median length7
Mean length7.107438
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
살아숨쉬는향교서원 1032
47.4%
생생문화재 706
32.4%
전통산사문화재 231
 
10.6%
고택종갓집 198
 
9.1%
문화재야행 11
 
0.5%

Length

2023-12-12T17:51:25.964011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:26.110723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
살아숨쉬는향교서원 1032
47.4%
생생문화재 706
32.4%
전통산사문화재 231
 
10.6%
고택종갓집 198
 
9.1%
문화재야행 11
 
0.5%
Distinct467
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2023-12-12T17:51:26.398281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length74
Mean length22.880165
Min length3

Characters and Unicode

Total characters49833
Distinct characters356
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)6.3%

Sample

1st row낙성대삼층석탑(시유형제4호), 강감찬생가터(시기념물 제3호)
2nd row사적 제 324호 서울 구 서대문형무소, 사적 제 32호 서울 독립문
3rd row호암산성(사적 제343호)
4th row서울시유형문화재제8호 사육신묘서울시유형문화재제6호 용양봉저정
5th row서울시유형문화재제8호 사육신묘, 서울시유형문화재제6호 용양봉저정
ValueCountFrequency (%)
유형문화재 149
 
1.8%
문화재자료 146
 
1.8%
138
 
1.7%
사적 127
 
1.6%
기념물 103
 
1.3%
자료 74
 
0.9%
73
 
0.9%
국가등록문화재 71
 
0.9%
60
 
0.7%
국가민속문화재 57
 
0.7%
Other values (1086) 7151
87.8%
2023-12-12T17:51:26.894976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5971
 
12.0%
2198
 
4.4%
1853
 
3.7%
( 1628
 
3.3%
) 1605
 
3.2%
1316
 
2.6%
1286
 
2.6%
1271
 
2.6%
1 1241
 
2.5%
988
 
2.0%
Other values (346) 30476
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33784
67.8%
Space Separator 5971
 
12.0%
Decimal Number 5887
 
11.8%
Open Punctuation 1628
 
3.3%
Close Punctuation 1605
 
3.2%
Other Punctuation 890
 
1.8%
Dash Punctuation 45
 
0.1%
Lowercase Letter 21
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2198
 
6.5%
1853
 
5.5%
1316
 
3.9%
1286
 
3.8%
1271
 
3.8%
988
 
2.9%
850
 
2.5%
771
 
2.3%
742
 
2.2%
681
 
2.0%
Other values (320) 21828
64.6%
Decimal Number
ValueCountFrequency (%)
1 1241
21.1%
2 808
13.7%
3 686
11.7%
5 590
10.0%
4 568
9.6%
0 437
 
7.4%
6 408
 
6.9%
9 394
 
6.7%
8 379
 
6.4%
7 376
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 837
94.0%
/ 32
 
3.6%
. 13
 
1.5%
· 4
 
0.4%
& 4
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
r 6
28.6%
e 6
28.6%
s 3
14.3%
f 3
14.3%
h 3
14.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
5971
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1628
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1605
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33774
67.8%
Common 16028
32.2%
Latin 21
 
< 0.1%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2198
 
6.5%
1853
 
5.5%
1316
 
3.9%
1286
 
3.8%
1271
 
3.8%
988
 
2.9%
850
 
2.5%
771
 
2.3%
742
 
2.2%
681
 
2.0%
Other values (315) 21818
64.6%
Common
ValueCountFrequency (%)
5971
37.3%
( 1628
 
10.2%
) 1605
 
10.0%
1 1241
 
7.7%
, 837
 
5.2%
2 808
 
5.0%
3 686
 
4.3%
5 590
 
3.7%
4 568
 
3.5%
0 437
 
2.7%
Other values (11) 1657
 
10.3%
Latin
ValueCountFrequency (%)
r 6
28.6%
e 6
28.6%
s 3
14.3%
f 3
14.3%
h 3
14.3%
Han
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33774
67.8%
ASCII 16045
32.2%
CJK 10
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5971
37.2%
( 1628
 
10.1%
) 1605
 
10.0%
1 1241
 
7.7%
, 837
 
5.2%
2 808
 
5.0%
3 686
 
4.3%
5 590
 
3.7%
4 568
 
3.5%
0 437
 
2.7%
Other values (15) 1674
 
10.4%
Hangul
ValueCountFrequency (%)
2198
 
6.5%
1853
 
5.5%
1316
 
3.9%
1286
 
3.8%
1271
 
3.8%
988
 
2.9%
850
 
2.5%
771
 
2.3%
742
 
2.2%
681
 
2.0%
Other values (315) 21818
64.6%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%
Distinct359
Distinct (%)16.5%
Missing1
Missing (%)< 0.1%
Memory size17.1 KiB
2023-12-12T17:51:27.172106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length16.501148
Min length2

Characters and Unicode

Total characters35923
Distinct characters590
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)3.2%

Sample

1st row낙성대 별이야기
2nd row독립의 별, 서대문에서 세계로
3rd row호암산성, 금천의 생생한 역사를 보다
4th row히(스토리), 헤(리티지), 해(피니스), 동작!
5th row히(스토리), 헤(리티지), 해(피니스), 동작!
ValueCountFrequency (%)
만나다 67
 
0.9%
우리혼디모영향교 48
 
0.6%
가게 48
 
0.6%
2020 45
 
0.6%
선비의 43
 
0.6%
함께하는 41
 
0.5%
이야기 39
 
0.5%
천년의 39
 
0.5%
놀아보자 36
 
0.5%
생생 35
 
0.5%
Other values (986) 7143
94.2%
2023-12-12T17:51:27.867429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5407
 
15.1%
711
 
2.0%
669
 
1.9%
668
 
1.9%
634
 
1.8%
593
 
1.7%
, 529
 
1.5%
521
 
1.5%
495
 
1.4%
478
 
1.3%
Other values (580) 25218
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27035
75.3%
Space Separator 5407
 
15.1%
Other Punctuation 1355
 
3.8%
Decimal Number 615
 
1.7%
Lowercase Letter 464
 
1.3%
Open Punctuation 331
 
0.9%
Close Punctuation 331
 
0.9%
Uppercase Letter 190
 
0.5%
Dash Punctuation 101
 
0.3%
Math Symbol 37
 
0.1%
Other values (5) 57
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
711
 
2.6%
669
 
2.5%
668
 
2.5%
634
 
2.3%
593
 
2.2%
521
 
1.9%
495
 
1.8%
478
 
1.8%
444
 
1.6%
426
 
1.6%
Other values (512) 21396
79.1%
Lowercase Letter
ValueCountFrequency (%)
o 58
12.5%
a 41
8.8%
y 40
8.6%
p 39
8.4%
g 37
 
8.0%
e 35
 
7.5%
r 32
 
6.9%
t 32
 
6.9%
l 30
 
6.5%
i 27
 
5.8%
Other values (9) 93
20.0%
Uppercase Letter
ValueCountFrequency (%)
W 87
45.8%
C 31
 
16.3%
H 18
 
9.5%
T 11
 
5.8%
A 11
 
5.8%
Y 8
 
4.2%
M 4
 
2.1%
U 4
 
2.1%
O 4
 
2.1%
J 3
 
1.6%
Other values (5) 9
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 529
39.0%
! 342
25.2%
" 146
 
10.8%
' 113
 
8.3%
. 108
 
8.0%
/ 60
 
4.4%
· 35
 
2.6%
: 12
 
0.9%
? 10
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 217
35.3%
0 202
32.8%
1 70
 
11.4%
3 42
 
6.8%
5 36
 
5.9%
6 30
 
4.9%
4 15
 
2.4%
7 3
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 27
73.0%
< 5
 
13.5%
> 5
 
13.5%
Open Punctuation
ValueCountFrequency (%)
( 327
98.8%
[ 4
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 327
98.8%
] 4
 
1.2%
Initial Punctuation
ValueCountFrequency (%)
10
76.9%
3
 
23.1%
Final Punctuation
ValueCountFrequency (%)
10
90.9%
1
 
9.1%
Other Symbol
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Space Separator
ValueCountFrequency (%)
5407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%
Letter Number
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26293
73.2%
Common 8230
 
22.9%
Han 742
 
2.1%
Latin 658
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
711
 
2.7%
669
 
2.5%
668
 
2.5%
634
 
2.4%
593
 
2.3%
521
 
2.0%
495
 
1.9%
478
 
1.8%
444
 
1.7%
426
 
1.6%
Other values (443) 20654
78.6%
Han
ValueCountFrequency (%)
98
 
13.2%
33
 
4.4%
31
 
4.2%
31
 
4.2%
29
 
3.9%
25
 
3.4%
24
 
3.2%
20
 
2.7%
20
 
2.7%
20
 
2.7%
Other values (59) 411
55.4%
Latin
ValueCountFrequency (%)
W 87
 
13.2%
o 58
 
8.8%
a 41
 
6.2%
y 40
 
6.1%
p 39
 
5.9%
g 37
 
5.6%
e 35
 
5.3%
r 32
 
4.9%
t 32
 
4.9%
C 31
 
4.7%
Other values (25) 226
34.3%
Common
ValueCountFrequency (%)
5407
65.7%
, 529
 
6.4%
! 342
 
4.2%
( 327
 
4.0%
) 327
 
4.0%
2 217
 
2.6%
0 202
 
2.5%
" 146
 
1.8%
' 113
 
1.4%
. 108
 
1.3%
Other values (23) 512
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26293
73.2%
ASCII 8818
 
24.5%
CJK 676
 
1.9%
CJK Compat Ideographs 66
 
0.2%
None 35
 
0.1%
Punctuation 24
 
0.1%
Misc Symbols 7
 
< 0.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5407
61.3%
, 529
 
6.0%
! 342
 
3.9%
( 327
 
3.7%
) 327
 
3.7%
2 217
 
2.5%
0 202
 
2.3%
" 146
 
1.7%
' 113
 
1.3%
. 108
 
1.2%
Other values (50) 1100
 
12.5%
Hangul
ValueCountFrequency (%)
711
 
2.7%
669
 
2.5%
668
 
2.5%
634
 
2.4%
593
 
2.3%
521
 
2.0%
495
 
1.9%
478
 
1.8%
444
 
1.7%
426
 
1.6%
Other values (443) 20654
78.6%
CJK
ValueCountFrequency (%)
98
 
14.5%
31
 
4.6%
31
 
4.6%
29
 
4.3%
24
 
3.6%
20
 
3.0%
20
 
3.0%
20
 
3.0%
20
 
3.0%
20
 
3.0%
Other values (56) 363
53.7%
None
ValueCountFrequency (%)
· 35
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
33
50.0%
25
37.9%
8
 
12.1%
Punctuation
ValueCountFrequency (%)
10
41.7%
10
41.7%
3
 
12.5%
1
 
4.2%
Misc Symbols
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Number Forms
ValueCountFrequency (%)
4
100.0%

프로그램유형
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
체험
891 
교육
560 
답사/탐방
165 
공연/전시
162 
복합행사
129 
Other values (38)
271 

Length

Max length10
Median length2
Mean length2.7539027
Min length2

Unique

Unique9 ?
Unique (%)0.4%

Sample

1st row체험
2nd row기타
3rd row답사/탐방
4th row교육
5th row교육

Common Values

ValueCountFrequency (%)
체험 891
40.9%
교육 560
25.7%
답사/탐방 165
 
7.6%
공연/전시 162
 
7.4%
복합행사 129
 
5.9%
인력양성 61
 
2.8%
기타 42
 
1.9%
숙박 29
 
1.3%
공연 17
 
0.8%
의례 16
 
0.7%
Other values (33) 106
 
4.9%

Length

2023-12-12T17:51:28.016519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체험 906
40.4%
교육 577
25.8%
답사/탐방 165
 
7.4%
공연/전시 163
 
7.3%
복합행사 129
 
5.8%
인력양성 61
 
2.7%
기타 42
 
1.9%
숙박 31
 
1.4%
공연 23
 
1.0%
답사 20
 
0.9%
Other values (26) 123
 
5.5%

연계프로그램 구분
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
해당없음
1721 
사회적약자
325 
자유학년제
 
56
여행상품(코레일·버스등)
 
39
<NA>
 
25
Other values (3)
 
12

Length

Max length13
Median length4
Mean length4.3402204
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 1721
79.0%
사회적약자 325
 
14.9%
자유학년제 56
 
2.6%
여행상품(코레일·버스등) 39
 
1.8%
<NA> 25
 
1.1%
자유학기제 10
 
0.5%
체험 1
 
< 0.1%
답사/탐방 1
 
< 0.1%

Length

2023-12-12T17:51:28.208653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:28.349248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 1721
79.0%
사회적약자 325
 
14.9%
자유학년제 56
 
2.6%
여행상품(코레일·버스등 39
 
1.8%
na 25
 
1.1%
자유학기제 10
 
0.5%
체험 1
 
< 0.1%
답사/탐방 1
 
< 0.1%

사회적약자
Text

MISSING 

Distinct51
Distinct (%)13.6%
Missing1804
Missing (%)82.8%
Memory size17.1 KiB
2023-12-12T17:51:28.584239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length7.4278075
Min length1

Characters and Unicode

Total characters2778
Distinct characters107
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)7.0%

Sample

1st row기초생활수급자
2nd row다문화가족
3rd row다문화가족
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
어르신(65세이상 140
33.7%
다문화가족 79
19.0%
장애인 30
 
7.2%
기초생활수급자 23
 
5.5%
해당없음 22
 
5.3%
어르신 15
 
3.6%
한부모가정 15
 
3.6%
이주민 8
 
1.9%
65세이상 5
 
1.2%
4
 
1.0%
Other values (48) 74
17.8%
2023-12-12T17:51:28.972071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
 
5.7%
159
 
5.7%
158
 
5.7%
157
 
5.7%
154
 
5.5%
6 153
 
5.5%
151
 
5.4%
5 150
 
5.4%
( 146
 
5.3%
) 146
 
5.3%
Other values (97) 1245
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2100
75.6%
Decimal Number 314
 
11.3%
Open Punctuation 146
 
5.3%
Close Punctuation 146
 
5.3%
Space Separator 41
 
1.5%
Other Punctuation 29
 
1.0%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
159
 
7.6%
159
 
7.6%
158
 
7.5%
157
 
7.5%
154
 
7.3%
151
 
7.2%
110
 
5.2%
86
 
4.1%
86
 
4.1%
86
 
4.1%
Other values (81) 794
37.8%
Decimal Number
ValueCountFrequency (%)
6 153
48.7%
5 150
47.8%
0 5
 
1.6%
1 2
 
0.6%
2 2
 
0.6%
7 1
 
0.3%
3 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 25
86.2%
: 2
 
6.9%
/ 1
 
3.4%
& 1
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2100
75.6%
Common 678
 
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
159
 
7.6%
159
 
7.6%
158
 
7.5%
157
 
7.5%
154
 
7.3%
151
 
7.2%
110
 
5.2%
86
 
4.1%
86
 
4.1%
86
 
4.1%
Other values (81) 794
37.8%
Common
ValueCountFrequency (%)
6 153
22.6%
5 150
22.1%
( 146
21.5%
) 146
21.5%
41
 
6.0%
, 25
 
3.7%
0 5
 
0.7%
1 2
 
0.3%
: 2
 
0.3%
2 2
 
0.3%
Other values (6) 6
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2100
75.6%
ASCII 678
 
24.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
159
 
7.6%
159
 
7.6%
158
 
7.5%
157
 
7.5%
154
 
7.3%
151
 
7.2%
110
 
5.2%
86
 
4.1%
86
 
4.1%
86
 
4.1%
Other values (81) 794
37.8%
ASCII
ValueCountFrequency (%)
6 153
22.6%
5 150
22.1%
( 146
21.5%
) 146
21.5%
41
 
6.0%
, 25
 
3.7%
0 5
 
0.7%
1 2
 
0.3%
: 2
 
0.3%
2 2
 
0.3%
Other values (6) 6
 
0.9%

시도
Categorical

Distinct17
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
충청남도
312 
경상남도
246 
전라북도
244 
경상북도
244 
전라남도
234 
Other values (12)
898 

Length

Max length7
Median length4
Mean length4.2144169
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 312
14.3%
경상남도 246
11.3%
전라북도 244
11.2%
경상북도 244
11.2%
전라남도 234
10.7%
충청북도 177
8.1%
경기도 145
6.7%
강원도 142
6.5%
제주특별자치도 137
6.3%
서울특별시 66
 
3.0%
Other values (7) 231
10.6%

Length

2023-12-12T17:51:29.163632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 312
14.3%
경상남도 246
11.3%
전라북도 244
11.2%
경상북도 244
11.2%
전라남도 234
10.7%
충청북도 177
8.1%
경기도 145
6.7%
강원도 142
6.5%
제주특별자치도 137
6.3%
서울특별시 66
 
3.0%
Other values (7) 231
10.6%

구군
Text

MISSING 

Distinct160
Distinct (%)7.6%
Missing65
Missing (%)3.0%
Memory size17.1 KiB
2023-12-12T17:51:29.495476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.001893
Min length2

Characters and Unicode

Total characters6343
Distinct characters120
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.8%

Sample

1st row관악구
2nd row서대문구
3rd row금천구
4th row동작구
5th row동작구
ValueCountFrequency (%)
청주시 85
 
4.0%
논산시 65
 
3.1%
서귀포시 51
 
2.4%
안동시 48
 
2.3%
경주시 48
 
2.3%
부여군 47
 
2.2%
홍성군 46
 
2.2%
나주시 42
 
2.0%
제주시 39
 
1.8%
강진군 38
 
1.8%
Other values (150) 1610
76.0%
2023-12-12T17:51:29.960280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1054
 
16.6%
798
 
12.6%
477
 
7.5%
269
 
4.2%
257
 
4.1%
144
 
2.3%
144
 
2.3%
143
 
2.3%
126
 
2.0%
123
 
1.9%
Other values (110) 2808
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6336
99.9%
Space Separator 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1054
 
16.6%
798
 
12.6%
477
 
7.5%
269
 
4.2%
257
 
4.1%
144
 
2.3%
144
 
2.3%
143
 
2.3%
126
 
2.0%
123
 
1.9%
Other values (108) 2801
44.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6336
99.9%
Common 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1054
 
16.6%
798
 
12.6%
477
 
7.5%
269
 
4.2%
257
 
4.1%
144
 
2.3%
144
 
2.3%
143
 
2.3%
126
 
2.0%
123
 
1.9%
Other values (108) 2801
44.2%
Common
ValueCountFrequency (%)
6
85.7%
, 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6336
99.9%
ASCII 7
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1054
 
16.6%
798
 
12.6%
477
 
7.5%
269
 
4.2%
257
 
4.1%
144
 
2.3%
144
 
2.3%
143
 
2.3%
126
 
2.0%
123
 
1.9%
Other values (108) 2801
44.2%
ASCII
ValueCountFrequency (%)
6
85.7%
, 1
 
14.3%
Distinct1091
Distinct (%)50.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2023-12-12T17:51:30.393374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length31
Mean length12.975207
Min length2

Characters and Unicode

Total characters28260
Distinct characters751
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique584 ?
Unique (%)26.8%

Sample

1st row낙성대 별☆극장
2nd row서대문형무소 글로벌공감콘텐츠
3rd row호암산성, 호암산의 역사를 열다
4th row미션세븐
5th row러닝힐링
ValueCountFrequency (%)
함께하는 79
 
1.3%
48
 
0.8%
46
 
0.7%
만나다 37
 
0.6%
체험 35
 
0.6%
선비의 31
 
0.5%
이야기 29
 
0.5%
함께 28
 
0.4%
생생 25
 
0.4%
1박2일 25
 
0.4%
Other values (2155) 5840
93.8%
2023-12-12T17:51:31.032480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4047
 
14.3%
478
 
1.7%
427
 
1.5%
401
 
1.4%
399
 
1.4%
391
 
1.4%
387
 
1.4%
370
 
1.3%
356
 
1.3%
347
 
1.2%
Other values (741) 20657
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22225
78.6%
Space Separator 4047
 
14.3%
Other Punctuation 718
 
2.5%
Decimal Number 328
 
1.2%
Lowercase Letter 285
 
1.0%
Close Punctuation 143
 
0.5%
Open Punctuation 142
 
0.5%
Uppercase Letter 135
 
0.5%
Dash Punctuation 125
 
0.4%
Math Symbol 60
 
0.2%
Other values (6) 52
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
478
 
2.2%
427
 
1.9%
401
 
1.8%
399
 
1.8%
391
 
1.8%
387
 
1.7%
370
 
1.7%
356
 
1.6%
347
 
1.6%
333
 
1.5%
Other values (662) 18336
82.5%
Lowercase Letter
ValueCountFrequency (%)
a 43
15.1%
l 29
10.2%
k 25
 
8.8%
n 22
 
7.7%
e 22
 
7.7%
i 19
 
6.7%
o 17
 
6.0%
r 15
 
5.3%
g 11
 
3.9%
u 10
 
3.5%
Other values (12) 72
25.3%
Uppercase Letter
ValueCountFrequency (%)
T 26
19.3%
O 13
9.6%
E 13
9.6%
D 12
8.9%
G 11
 
8.1%
R 8
 
5.9%
W 6
 
4.4%
N 6
 
4.4%
V 6
 
4.4%
M 5
 
3.7%
Other values (10) 29
21.5%
Other Punctuation
ValueCountFrequency (%)
, 238
33.1%
! 221
30.8%
" 93
 
13.0%
. 77
 
10.7%
' 54
 
7.5%
? 16
 
2.2%
· 8
 
1.1%
: 4
 
0.6%
& 4
 
0.6%
/ 3
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 109
33.2%
2 103
31.4%
0 41
 
12.5%
3 33
 
10.1%
5 13
 
4.0%
6 8
 
2.4%
9 8
 
2.4%
7 6
 
1.8%
4 6
 
1.8%
8 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 24
40.0%
> 24
40.0%
~ 12
20.0%
Close Punctuation
ValueCountFrequency (%)
) 140
97.9%
] 3
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 139
97.9%
[ 3
 
2.1%
Final Punctuation
ValueCountFrequency (%)
10
62.5%
6
37.5%
Initial Punctuation
ValueCountFrequency (%)
10
66.7%
5
33.3%
Space Separator
ValueCountFrequency (%)
4047
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Other Number
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22102
78.2%
Common 5613
 
19.9%
Latin 422
 
1.5%
Han 123
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
478
 
2.2%
427
 
1.9%
401
 
1.8%
399
 
1.8%
391
 
1.8%
387
 
1.8%
370
 
1.7%
356
 
1.6%
347
 
1.6%
333
 
1.5%
Other values (623) 18213
82.4%
Latin
ValueCountFrequency (%)
a 43
 
10.2%
l 29
 
6.9%
T 26
 
6.2%
k 25
 
5.9%
n 22
 
5.2%
e 22
 
5.2%
i 19
 
4.5%
o 17
 
4.0%
r 15
 
3.6%
O 13
 
3.1%
Other values (33) 191
45.3%
Han
ValueCountFrequency (%)
22
17.9%
12
 
9.8%
8
 
6.5%
6
 
4.9%
5
 
4.1%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (29) 50
40.7%
Common
ValueCountFrequency (%)
4047
72.1%
, 238
 
4.2%
! 221
 
3.9%
) 140
 
2.5%
( 139
 
2.5%
- 125
 
2.2%
1 109
 
1.9%
2 103
 
1.8%
" 93
 
1.7%
. 77
 
1.4%
Other values (26) 321
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22102
78.2%
ASCII 5987
 
21.2%
CJK 109
 
0.4%
Punctuation 31
 
0.1%
CJK Compat Ideographs 14
 
< 0.1%
None 8
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4047
67.6%
, 238
 
4.0%
! 221
 
3.7%
) 140
 
2.3%
( 139
 
2.3%
- 125
 
2.1%
1 109
 
1.8%
2 103
 
1.7%
" 93
 
1.6%
. 77
 
1.3%
Other values (61) 695
 
11.6%
Hangul
ValueCountFrequency (%)
478
 
2.2%
427
 
1.9%
401
 
1.8%
399
 
1.8%
391
 
1.8%
387
 
1.8%
370
 
1.7%
356
 
1.6%
347
 
1.6%
333
 
1.5%
Other values (623) 18213
82.4%
CJK
ValueCountFrequency (%)
22
20.2%
8
 
7.3%
6
 
5.5%
5
 
4.6%
4
 
3.7%
4
 
3.7%
4
 
3.7%
4
 
3.7%
4
 
3.7%
4
 
3.7%
Other values (26) 44
40.4%
CJK Compat Ideographs
ValueCountFrequency (%)
12
85.7%
1
 
7.1%
1
 
7.1%
Punctuation
ValueCountFrequency (%)
10
32.3%
10
32.3%
6
19.4%
5
16.1%
None
ValueCountFrequency (%)
· 8
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
4
100.0%
Misc Symbols
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
Distinct1241
Distinct (%)57.3%
Missing14
Missing (%)0.6%
Memory size17.1 KiB
2023-12-12T17:51:31.453061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length455
Median length102
Mean length38.5878
Min length4

Characters and Unicode

Total characters83504
Distinct characters855
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique778 ?
Unique (%)36.0%

Sample

1st row마술쑈,인형극,강감찬인형만들기,워크지로 알아보는 강감찬
2nd row외국인들이 자국의 언어로 서대문형무소를 세계로 홍보하는 다양한 에세이 및 UCC형태의 콘텐츠 제작 프로그램
3rd row호암산성을 비롯하여 호암산에 산재되어 있는 우리의 귀중한 문화유산을 전문 문화해설사와 투어를 통해 알아보는 프로그램
4th row문화재 해설 및 사육신의 주는 일곱 개의 미션(타블로연극, 보드게임,) 진행.
5th row동작구에 있는 국립현충원과 사육신묘를 잇는 충효로를 트레킹하며 문화유산을 알아가는 프로그램
ValueCountFrequency (%)
프로그램 357
 
1.9%
327
 
1.8%
체험 306
 
1.7%
통해 186
 
1.0%
142
 
0.8%
있는 121
 
0.7%
함께 115
 
0.6%
문화재 90
 
0.5%
다양한 86
 
0.5%
위한 82
 
0.4%
Other values (5463) 16723
90.2%
2023-12-12T17:51:32.004011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16373
 
19.6%
, 1506
 
1.8%
1389
 
1.7%
1360
 
1.6%
1211
 
1.5%
1171
 
1.4%
1119
 
1.3%
1088
 
1.3%
1034
 
1.2%
1002
 
1.2%
Other values (845) 56251
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63575
76.1%
Space Separator 16373
 
19.6%
Other Punctuation 2012
 
2.4%
Decimal Number 559
 
0.7%
Close Punctuation 291
 
0.3%
Open Punctuation 283
 
0.3%
Lowercase Letter 121
 
0.1%
Uppercase Letter 100
 
0.1%
Dash Punctuation 78
 
0.1%
Math Symbol 65
 
0.1%
Other values (4) 47
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1389
 
2.2%
1360
 
2.1%
1211
 
1.9%
1171
 
1.8%
1119
 
1.8%
1088
 
1.7%
1034
 
1.6%
1002
 
1.6%
982
 
1.5%
970
 
1.5%
Other values (770) 52249
82.2%
Lowercase Letter
ValueCountFrequency (%)
l 18
14.9%
a 15
12.4%
t 13
10.7%
o 12
9.9%
k 9
7.4%
s 8
6.6%
b 8
6.6%
u 7
 
5.8%
n 7
 
5.8%
e 6
 
5.0%
Other values (10) 18
14.9%
Uppercase Letter
ValueCountFrequency (%)
C 17
17.0%
I 14
14.0%
E 11
11.0%
R 11
11.0%
M 10
10.0%
V 7
7.0%
D 7
7.0%
G 6
 
6.0%
U 4
 
4.0%
A 4
 
4.0%
Other values (5) 9
9.0%
Other Punctuation
ValueCountFrequency (%)
, 1506
74.9%
. 266
 
13.2%
' 68
 
3.4%
! 44
 
2.2%
: 42
 
2.1%
/ 40
 
2.0%
· 22
 
1.1%
; 9
 
0.4%
& 8
 
0.4%
" 5
 
0.2%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 129
23.1%
2 119
21.3%
0 66
11.8%
3 51
 
9.1%
4 48
 
8.6%
6 44
 
7.9%
5 40
 
7.2%
9 25
 
4.5%
7 24
 
4.3%
8 13
 
2.3%
Math Symbol
ValueCountFrequency (%)
+ 23
35.4%
> 18
27.7%
~ 12
18.5%
< 9
 
13.8%
3
 
4.6%
Close Punctuation
ValueCountFrequency (%)
) 290
99.7%
1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 282
99.6%
1
 
0.4%
Final Punctuation
ValueCountFrequency (%)
9
52.9%
8
47.1%
Initial Punctuation
ValueCountFrequency (%)
9
52.9%
8
47.1%
Other Number
ValueCountFrequency (%)
6
50.0%
6
50.0%
Space Separator
ValueCountFrequency (%)
16373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63538
76.1%
Common 19708
 
23.6%
Latin 221
 
0.3%
Han 37
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1389
 
2.2%
1360
 
2.1%
1211
 
1.9%
1171
 
1.8%
1119
 
1.8%
1088
 
1.7%
1034
 
1.6%
1002
 
1.6%
982
 
1.5%
970
 
1.5%
Other values (752) 52212
82.2%
Common
ValueCountFrequency (%)
16373
83.1%
, 1506
 
7.6%
) 290
 
1.5%
( 282
 
1.4%
. 266
 
1.3%
1 129
 
0.7%
2 119
 
0.6%
- 78
 
0.4%
' 68
 
0.3%
0 66
 
0.3%
Other values (30) 531
 
2.7%
Latin
ValueCountFrequency (%)
l 18
 
8.1%
C 17
 
7.7%
a 15
 
6.8%
I 14
 
6.3%
t 13
 
5.9%
o 12
 
5.4%
E 11
 
5.0%
R 11
 
5.0%
M 10
 
4.5%
k 9
 
4.1%
Other values (25) 91
41.2%
Han
ValueCountFrequency (%)
4
 
10.8%
3
 
8.1%
3
 
8.1%
3
 
8.1%
3
 
8.1%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
Other values (8) 11
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63538
76.1%
ASCII 19855
 
23.8%
Punctuation 35
 
< 0.1%
None 24
 
< 0.1%
CJK 24
 
< 0.1%
CJK Compat Ideographs 13
 
< 0.1%
Enclosed Alphanum 12
 
< 0.1%
Arrows 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16373
82.5%
, 1506
 
7.6%
) 290
 
1.5%
( 282
 
1.4%
. 266
 
1.3%
1 129
 
0.6%
2 119
 
0.6%
- 78
 
0.4%
' 68
 
0.3%
0 66
 
0.3%
Other values (54) 678
 
3.4%
Hangul
ValueCountFrequency (%)
1389
 
2.2%
1360
 
2.1%
1211
 
1.9%
1171
 
1.8%
1119
 
1.8%
1088
 
1.7%
1034
 
1.6%
1002
 
1.6%
982
 
1.5%
970
 
1.5%
Other values (752) 52212
82.2%
None
ValueCountFrequency (%)
· 22
91.7%
1
 
4.2%
1
 
4.2%
Punctuation
ValueCountFrequency (%)
9
25.7%
9
25.7%
8
22.9%
8
22.9%
1
 
2.9%
Enclosed Alphanum
ValueCountFrequency (%)
6
50.0%
6
50.0%
CJK
ValueCountFrequency (%)
4
16.7%
2
8.3%
2
8.3%
2
8.3%
2
8.3%
2
8.3%
2
8.3%
2
8.3%
2
8.3%
1
 
4.2%
Other values (3) 3
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
3
23.1%
3
23.1%
3
23.1%
3
23.1%
1
 
7.7%
Arrows
ValueCountFrequency (%)
3
100.0%

링크(URL)
Text

MISSING 

Distinct224
Distinct (%)18.9%
Missing992
Missing (%)45.5%
Memory size17.1 KiB
2023-12-12T17:51:32.303686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length101
Mean length30.674536
Min length2

Characters and Unicode

Total characters36380
Distinct characters148
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)5.8%

Sample

1st rowwww.fundaykorea.me
2nd rowhttps://woorimunhwajae.modoo.at/?link=6tmf1gqr
3rd rowhttps://woorimunhwajae.modoo.at/?link=c8v18xi7
4th rowwww.sunbicamp.co.kr
5th rowhttp://www.igycc.or.kr/business/cultural.jsp
ValueCountFrequency (%)
https://cafe.daum.net/cj-ins 34
 
2.6%
http://blog.naver.com/jejuhyangkyo 31
 
2.4%
http://blog.naver.com/najuhyanggyo 29
 
2.2%
https://blog.naver.com/lgs0502 29
 
2.2%
http://cafe.daum.net/shinhangacademy 28
 
2.1%
http://www.donamseowon.co.kr 27
 
2.1%
http://www.ch-outreach.kr 25
 
1.9%
https://blog.naver.com/mt1490 21
 
1.6%
http://www.munheon.org 20
 
1.5%
http://www.grcschool.org 18
 
1.4%
Other values (253) 1045
80.0%
2023-12-12T17:51:32.900854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2910
 
8.0%
. 2642
 
7.3%
t 2500
 
6.9%
o 2272
 
6.2%
a 2148
 
5.9%
w 1713
 
4.7%
e 1704
 
4.7%
n 1654
 
4.5%
h 1564
 
4.3%
r 1523
 
4.2%
Other values (138) 15750
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26782
73.6%
Other Punctuation 6743
 
18.5%
Decimal Number 1605
 
4.4%
Other Letter 496
 
1.4%
Uppercase Letter 284
 
0.8%
Math Symbol 125
 
0.3%
Space Separator 121
 
0.3%
Connector Punctuation 115
 
0.3%
Dash Punctuation 81
 
0.2%
Open Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
6.2%
24
 
4.8%
23
 
4.6%
20
 
4.0%
19
 
3.8%
19
 
3.8%
16
 
3.2%
15
 
3.0%
13
 
2.6%
13
 
2.6%
Other values (60) 303
61.1%
Lowercase Letter
ValueCountFrequency (%)
t 2500
 
9.3%
o 2272
 
8.5%
a 2148
 
8.0%
w 1713
 
6.4%
e 1704
 
6.4%
n 1654
 
6.2%
h 1564
 
5.8%
r 1523
 
5.7%
s 1351
 
5.0%
c 1335
 
5.0%
Other values (16) 9018
33.7%
Uppercase Letter
ValueCountFrequency (%)
O 24
 
8.5%
W 19
 
6.7%
R 17
 
6.0%
V 16
 
5.6%
Q 16
 
5.6%
H 15
 
5.3%
F 15
 
5.3%
C 14
 
4.9%
I 14
 
4.9%
U 13
 
4.6%
Other values (15) 121
42.6%
Other Punctuation
ValueCountFrequency (%)
/ 2910
43.2%
. 2642
39.2%
: 990
 
14.7%
? 81
 
1.2%
& 59
 
0.9%
, 29
 
0.4%
@ 13
 
0.2%
; 8
 
0.1%
# 7
 
0.1%
" 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 384
23.9%
1 284
17.7%
2 271
16.9%
9 123
 
7.7%
5 119
 
7.4%
3 103
 
6.4%
6 100
 
6.2%
7 84
 
5.2%
4 71
 
4.4%
8 66
 
4.1%
Math Symbol
ValueCountFrequency (%)
= 116
92.8%
~ 9
 
7.2%
Space Separator
ValueCountFrequency (%)
121
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27066
74.4%
Common 8818
 
24.2%
Hangul 496
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
6.2%
24
 
4.8%
23
 
4.6%
20
 
4.0%
19
 
3.8%
19
 
3.8%
16
 
3.2%
15
 
3.0%
13
 
2.6%
13
 
2.6%
Other values (60) 303
61.1%
Latin
ValueCountFrequency (%)
t 2500
 
9.2%
o 2272
 
8.4%
a 2148
 
7.9%
w 1713
 
6.3%
e 1704
 
6.3%
n 1654
 
6.1%
h 1564
 
5.8%
r 1523
 
5.6%
s 1351
 
5.0%
c 1335
 
4.9%
Other values (41) 9302
34.4%
Common
ValueCountFrequency (%)
/ 2910
33.0%
. 2642
30.0%
: 990
 
11.2%
0 384
 
4.4%
1 284
 
3.2%
2 271
 
3.1%
9 123
 
1.4%
121
 
1.4%
5 119
 
1.3%
= 116
 
1.3%
Other values (17) 858
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35884
98.6%
Hangul 496
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2910
 
8.1%
. 2642
 
7.4%
t 2500
 
7.0%
o 2272
 
6.3%
a 2148
 
6.0%
w 1713
 
4.8%
e 1704
 
4.7%
n 1654
 
4.6%
h 1564
 
4.4%
r 1523
 
4.2%
Other values (68) 15254
42.5%
Hangul
ValueCountFrequency (%)
31
 
6.2%
24
 
4.8%
23
 
4.6%
20
 
4.0%
19
 
3.8%
19
 
3.8%
16
 
3.2%
15
 
3.0%
13
 
2.6%
13
 
2.6%
Other values (60) 303
61.1%

상시여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
False
2039 
True
 
139
ValueCountFrequency (%)
False 2039
93.6%
True 139
 
6.4%
2023-12-12T17:51:33.085085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장소
Text

Distinct720
Distinct (%)33.1%
Missing2
Missing (%)0.1%
Memory size17.1 KiB
2023-12-12T17:51:33.394453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length47
Mean length9.3442096
Min length2

Characters and Unicode

Total characters20333
Distinct characters422
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)15.5%

Sample

1st row관악구 문화원 예절원
2nd row서대문형무소역사관
3rd row금천구 호암산성
4th row사육신공원
5th row국립서울현충원
ValueCountFrequency (%)
명륜당 255
 
5.5%
149
 
3.2%
일원 88
 
1.9%
유림회관 43
 
0.9%
42
 
0.9%
정의향교 35
 
0.8%
객사 34
 
0.7%
돈암서원 34
 
0.7%
제주향교 32
 
0.7%
고택 31
 
0.7%
Other values (965) 3856
83.8%
2023-12-12T17:51:33.896760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2423
 
11.9%
812
 
4.0%
697
 
3.4%
596
 
2.9%
487
 
2.4%
, 462
 
2.3%
429
 
2.1%
404
 
2.0%
392
 
1.9%
329
 
1.6%
Other values (412) 13302
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17078
84.0%
Space Separator 2423
 
11.9%
Other Punctuation 510
 
2.5%
Decimal Number 120
 
0.6%
Close Punctuation 90
 
0.4%
Open Punctuation 89
 
0.4%
Dash Punctuation 15
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
812
 
4.8%
697
 
4.1%
596
 
3.5%
487
 
2.9%
429
 
2.5%
404
 
2.4%
392
 
2.3%
329
 
1.9%
321
 
1.9%
278
 
1.6%
Other values (385) 12333
72.2%
Decimal Number
ValueCountFrequency (%)
1 35
29.2%
4 32
26.7%
0 14
 
11.7%
9 13
 
10.8%
3 7
 
5.8%
6 5
 
4.2%
2 5
 
4.2%
7 4
 
3.3%
8 4
 
3.3%
5 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 462
90.6%
/ 24
 
4.7%
@ 8
 
1.6%
. 6
 
1.2%
: 6
 
1.2%
· 2
 
0.4%
& 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
t 1
16.7%
v 1
16.7%
z 1
16.7%
m 1
16.7%
Space Separator
ValueCountFrequency (%)
2423
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17065
83.9%
Common 3249
 
16.0%
Han 13
 
0.1%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
812
 
4.8%
697
 
4.1%
596
 
3.5%
487
 
2.9%
429
 
2.5%
404
 
2.4%
392
 
2.3%
329
 
1.9%
321
 
1.9%
278
 
1.6%
Other values (381) 12320
72.2%
Common
ValueCountFrequency (%)
2423
74.6%
, 462
 
14.2%
) 90
 
2.8%
( 89
 
2.7%
1 35
 
1.1%
4 32
 
1.0%
/ 24
 
0.7%
- 15
 
0.5%
0 14
 
0.4%
9 13
 
0.4%
Other values (12) 52
 
1.6%
Latin
ValueCountFrequency (%)
o 2
33.3%
t 1
16.7%
v 1
16.7%
z 1
16.7%
m 1
16.7%
Han
ValueCountFrequency (%)
4
30.8%
4
30.8%
4
30.8%
1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17065
83.9%
ASCII 3253
 
16.0%
CJK 9
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2423
74.5%
, 462
 
14.2%
) 90
 
2.8%
( 89
 
2.7%
1 35
 
1.1%
4 32
 
1.0%
/ 24
 
0.7%
- 15
 
0.5%
0 14
 
0.4%
9 13
 
0.4%
Other values (16) 56
 
1.7%
Hangul
ValueCountFrequency (%)
812
 
4.8%
697
 
4.1%
596
 
3.5%
487
 
2.9%
429
 
2.5%
404
 
2.4%
392
 
2.3%
329
 
1.9%
321
 
1.9%
278
 
1.6%
Other values (381) 12320
72.2%
CJK
ValueCountFrequency (%)
4
44.4%
4
44.4%
1
 
11.1%
CJK Compat Ideographs
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct806
Distinct (%)37.2%
Missing11
Missing (%)0.5%
Memory size17.1 KiB
2023-12-12T17:51:34.267853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length33
Mean length10.396401
Min length2

Characters and Unicode

Total characters22529
Distinct characters316
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique425 ?
Unique (%)19.6%

Sample

1st row관악구민(10가족)
2nd row외국인 100명
3rd row일반인, 청소년, 가족
4th row지역주민 및 일반 시민
5th row지역주민 및 일반 시민
ValueCountFrequency (%)
내외 317
 
6.2%
일반인 305
 
6.0%
254
 
5.0%
20명 166
 
3.3%
관광객 132
 
2.6%
누구나 127
 
2.5%
지역주민 106
 
2.1%
청소년 106
 
2.1%
학생 93
 
1.8%
탐방객 83
 
1.6%
Other values (837) 3392
66.8%
2023-12-12T17:51:34.887001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2914
 
12.9%
959
 
4.3%
0 799
 
3.5%
, 709
 
3.1%
691
 
3.1%
671
 
3.0%
573
 
2.5%
554
 
2.5%
) 527
 
2.3%
( 527
 
2.3%
Other values (306) 13605
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15479
68.7%
Space Separator 2914
 
12.9%
Decimal Number 2231
 
9.9%
Other Punctuation 805
 
3.6%
Close Punctuation 527
 
2.3%
Open Punctuation 527
 
2.3%
Math Symbol 31
 
0.1%
Dash Punctuation 8
 
< 0.1%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
959
 
6.2%
691
 
4.5%
671
 
4.3%
573
 
3.7%
554
 
3.6%
504
 
3.3%
491
 
3.2%
479
 
3.1%
362
 
2.3%
347
 
2.2%
Other values (278) 9848
63.6%
Decimal Number
ValueCountFrequency (%)
0 799
35.8%
2 448
20.1%
1 287
 
12.9%
5 266
 
11.9%
3 196
 
8.8%
4 105
 
4.7%
6 78
 
3.5%
9 20
 
0.9%
7 17
 
0.8%
8 15
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 709
88.1%
/ 51
 
6.3%
. 16
 
2.0%
: 11
 
1.4%
& 10
 
1.2%
· 5
 
0.6%
* 2
 
0.2%
' 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
X 2
40.0%
N 1
20.0%
Math Symbol
ValueCountFrequency (%)
~ 29
93.5%
+ 2
 
6.5%
Space Separator
ValueCountFrequency (%)
2914
100.0%
Close Punctuation
ValueCountFrequency (%)
) 527
100.0%
Open Punctuation
ValueCountFrequency (%)
( 527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15479
68.7%
Common 7043
31.3%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
959
 
6.2%
691
 
4.5%
671
 
4.3%
573
 
3.7%
554
 
3.6%
504
 
3.3%
491
 
3.2%
479
 
3.1%
362
 
2.3%
347
 
2.2%
Other values (278) 9848
63.6%
Common
ValueCountFrequency (%)
2914
41.4%
0 799
 
11.3%
, 709
 
10.1%
) 527
 
7.5%
( 527
 
7.5%
2 448
 
6.4%
1 287
 
4.1%
5 266
 
3.8%
3 196
 
2.8%
4 105
 
1.5%
Other values (14) 265
 
3.8%
Latin
ValueCountFrequency (%)
S 2
28.6%
k 2
28.6%
X 2
28.6%
N 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15479
68.7%
ASCII 7045
31.3%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2914
41.4%
0 799
 
11.3%
, 709
 
10.1%
) 527
 
7.5%
( 527
 
7.5%
2 448
 
6.4%
1 287
 
4.1%
5 266
 
3.8%
3 196
 
2.8%
4 105
 
1.5%
Other values (17) 267
 
3.8%
Hangul
ValueCountFrequency (%)
959
 
6.2%
691
 
4.5%
671
 
4.3%
573
 
3.7%
554
 
3.6%
504
 
3.3%
491
 
3.2%
479
 
3.1%
362
 
2.3%
347
 
2.2%
Other values (278) 9848
63.6%
None
ValueCountFrequency (%)
· 5
100.0%
Distinct302
Distinct (%)13.9%
Missing2
Missing (%)0.1%
Memory size17.1 KiB
2023-12-12T17:51:35.231411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.9669118
Min length2

Characters and Unicode

Total characters17336
Distinct characters321
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)1.8%

Sample

1st row문화동행
2nd row펀데이코리아네트웍스㈜
3rd row코리아헤리티지센터
4th row㈜우리가만드는미래
5th row㈜우리가만드는미래
ValueCountFrequency (%)
주식회사 51
 
1.8%
성읍 48
 
1.7%
향교 48
 
1.7%
정의 48
 
1.7%
중심고을연구원 34
 
1.2%
돈암서원 33
 
1.2%
제주향교 32
 
1.1%
사천향교 31
 
1.1%
㈜한국문화유산연구센터 31
 
1.1%
신항서원 29
 
1.0%
Other values (347) 2408
86.2%
2023-12-12T17:51:35.727364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
870
 
5.0%
854
 
4.9%
674
 
3.9%
626
 
3.6%
617
 
3.6%
554
 
3.2%
383
 
2.2%
359
 
2.1%
356
 
2.1%
355
 
2.0%
Other values (311) 11688
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15927
91.9%
Space Separator 617
 
3.6%
Close Punctuation 310
 
1.8%
Open Punctuation 275
 
1.6%
Other Symbol 102
 
0.6%
Other Punctuation 41
 
0.2%
Lowercase Letter 30
 
0.2%
Decimal Number 18
 
0.1%
Uppercase Letter 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
870
 
5.5%
854
 
5.4%
674
 
4.2%
626
 
3.9%
554
 
3.5%
383
 
2.4%
359
 
2.3%
356
 
2.2%
355
 
2.2%
319
 
2.0%
Other values (294) 10577
66.4%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
1 7
38.9%
5 2
 
11.1%
7 2
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
Y 4
25.0%
M 4
25.0%
C 4
25.0%
A 4
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 18
43.9%
, 13
31.7%
. 10
24.4%
Lowercase Letter
ValueCountFrequency (%)
i 15
50.0%
n 15
50.0%
Space Separator
ValueCountFrequency (%)
617
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 275
100.0%
Other Symbol
ValueCountFrequency (%)
102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16029
92.5%
Common 1261
 
7.3%
Latin 46
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
870
 
5.4%
854
 
5.3%
674
 
4.2%
626
 
3.9%
554
 
3.5%
383
 
2.4%
359
 
2.2%
356
 
2.2%
355
 
2.2%
319
 
2.0%
Other values (295) 10679
66.6%
Common
ValueCountFrequency (%)
617
48.9%
) 310
24.6%
( 275
21.8%
/ 18
 
1.4%
, 13
 
1.0%
. 10
 
0.8%
2 7
 
0.6%
1 7
 
0.6%
5 2
 
0.2%
7 2
 
0.2%
Latin
ValueCountFrequency (%)
i 15
32.6%
n 15
32.6%
Y 4
 
8.7%
M 4
 
8.7%
C 4
 
8.7%
A 4
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15927
91.9%
ASCII 1307
 
7.5%
None 102
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
870
 
5.5%
854
 
5.4%
674
 
4.2%
626
 
3.9%
554
 
3.5%
383
 
2.4%
359
 
2.3%
356
 
2.2%
355
 
2.2%
319
 
2.0%
Other values (294) 10577
66.4%
ASCII
ValueCountFrequency (%)
617
47.2%
) 310
23.7%
( 275
21.0%
/ 18
 
1.4%
i 15
 
1.1%
n 15
 
1.1%
, 13
 
1.0%
. 10
 
0.8%
2 7
 
0.5%
1 7
 
0.5%
Other values (6) 20
 
1.5%
None
ValueCountFrequency (%)
102
100.0%

기타사항
Text

MISSING 

Distinct234
Distinct (%)14.4%
Missing557
Missing (%)25.6%
Memory size17.1 KiB
2023-12-12T17:51:36.058055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length2
Mean length5.2806909
Min length1

Characters and Unicode

Total characters8560
Distinct characters296
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)8.1%

Sample

1st row무료
2nd row무료
3rd row무료
4th row무료
5th row무료
ValueCountFrequency (%)
무료 1098
47.0%
유료 133
 
5.7%
유료(참가비 38
 
1.6%
숙박 28
 
1.2%
사전접수 25
 
1.1%
필수 25
 
1.1%
www.heritages.kr 24
 
1.0%
5000원 22
 
0.9%
1만원 22
 
0.9%
유료(체험비 21
 
0.9%
Other values (345) 898
38.5%
2023-12-12T17:51:36.623174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1508
17.6%
1159
 
13.5%
713
 
8.3%
0 480
 
5.6%
337
 
3.9%
) 269
 
3.1%
( 266
 
3.1%
256
 
3.0%
1 162
 
1.9%
161
 
1.9%
Other values (286) 3249
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5951
69.5%
Decimal Number 870
 
10.2%
Space Separator 713
 
8.3%
Lowercase Letter 340
 
4.0%
Close Punctuation 269
 
3.1%
Open Punctuation 266
 
3.1%
Other Punctuation 131
 
1.5%
Dash Punctuation 8
 
0.1%
Uppercase Letter 8
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1508
25.3%
1159
19.5%
337
 
5.7%
256
 
4.3%
161
 
2.7%
111
 
1.9%
99
 
1.7%
95
 
1.6%
85
 
1.4%
82
 
1.4%
Other values (254) 2058
34.6%
Lowercase Letter
ValueCountFrequency (%)
w 72
21.2%
e 50
14.7%
r 48
14.1%
a 24
 
7.1%
s 24
 
7.1%
k 24
 
7.1%
i 24
 
7.1%
h 24
 
7.1%
t 24
 
7.1%
g 24
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 480
55.2%
1 162
 
18.6%
5 82
 
9.4%
2 61
 
7.0%
3 39
 
4.5%
9 19
 
2.2%
7 10
 
1.1%
4 7
 
0.8%
8 5
 
0.6%
6 5
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 63
48.1%
. 57
43.5%
: 11
 
8.4%
Uppercase Letter
ValueCountFrequency (%)
R 4
50.0%
V 3
37.5%
A 1
 
12.5%
Space Separator
ValueCountFrequency (%)
713
100.0%
Close Punctuation
ValueCountFrequency (%)
) 269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5951
69.5%
Common 2261
 
26.4%
Latin 348
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1508
25.3%
1159
19.5%
337
 
5.7%
256
 
4.3%
161
 
2.7%
111
 
1.9%
99
 
1.7%
95
 
1.6%
85
 
1.4%
82
 
1.4%
Other values (254) 2058
34.6%
Common
ValueCountFrequency (%)
713
31.5%
0 480
21.2%
) 269
 
11.9%
( 266
 
11.8%
1 162
 
7.2%
5 82
 
3.6%
/ 63
 
2.8%
2 61
 
2.7%
. 57
 
2.5%
3 39
 
1.7%
Other values (8) 69
 
3.1%
Latin
ValueCountFrequency (%)
w 72
20.7%
e 50
14.4%
r 48
13.8%
a 24
 
6.9%
s 24
 
6.9%
k 24
 
6.9%
i 24
 
6.9%
h 24
 
6.9%
t 24
 
6.9%
g 24
 
6.9%
Other values (4) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5951
69.5%
ASCII 2609
30.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1508
25.3%
1159
19.5%
337
 
5.7%
256
 
4.3%
161
 
2.7%
111
 
1.9%
99
 
1.7%
95
 
1.6%
85
 
1.4%
82
 
1.4%
Other values (254) 2058
34.6%
ASCII
ValueCountFrequency (%)
713
27.3%
0 480
18.4%
) 269
 
10.3%
( 266
 
10.2%
1 162
 
6.2%
5 82
 
3.1%
w 72
 
2.8%
/ 63
 
2.4%
2 61
 
2.3%
. 57
 
2.2%
Other values (22) 384
14.7%

Interactions

2023-12-12T17:51:24.783228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:51:36.771660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재 유형프로그램유형연계프로그램 구분사회적약자시도상시여부
1.0000.1570.1410.1880.0000.1880.000
문화재 유형0.1571.0000.8070.1170.8440.3720.278
프로그램유형0.1410.8071.0000.2150.6850.4690.169
연계프로그램 구분0.1880.1170.2151.0000.8620.2890.078
사회적약자0.0000.8440.6850.8621.0000.8450.152
시도0.1880.3720.4690.2890.8451.0000.208
상시여부0.0000.2780.1690.0780.1520.2081.000
2023-12-12T17:51:36.926180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상시여부문화재 유형시도프로그램유형연계프로그램 구분
상시여부1.0000.3390.1860.1330.084
문화재 유형0.3391.0000.2010.5290.074
시도0.1860.2011.0000.1430.134
프로그램유형0.1330.5290.1431.0000.082
연계프로그램 구분0.0840.0740.1340.0821.000
2023-12-12T17:51:37.072487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재 유형프로그램유형연계프로그램 구분시도상시여부
1.0000.1010.0530.0670.0850.000
문화재 유형0.1011.0000.5290.0740.2010.339
프로그램유형0.0530.5291.0000.0820.1430.133
연계프로그램 구분0.0670.0740.0821.0000.1340.084
시도0.0850.2010.1430.1341.0000.186
상시여부0.0000.3390.1330.0840.1861.000

Missing values

2023-12-12T17:51:24.962271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:51:25.234775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T17:51:25.485232image/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

문화재 유형대상문화재사업명프로그램유형연계프로그램 구분사회적약자시도구군프로그램명프로그램내용링크(URL)상시여부장소참여대상주관단체기타사항
05생생문화재낙성대삼층석탑(시유형제4호), 강감찬생가터(시기념물 제3호)낙성대 별이야기체험해당없음<NA>서울특별시관악구낙성대 별☆극장마술쑈,인형극,강감찬인형만들기,워크지로 알아보는 강감찬<NA>N관악구 문화원 예절원관악구민(10가족)문화동행무료
15생생문화재사적 제 324호 서울 구 서대문형무소, 사적 제 32호 서울 독립문독립의 별, 서대문에서 세계로기타해당없음<NA>서울특별시서대문구서대문형무소 글로벌공감콘텐츠외국인들이 자국의 언어로 서대문형무소를 세계로 홍보하는 다양한 에세이 및 UCC형태의 콘텐츠 제작 프로그램www.fundaykorea.meY서대문형무소역사관외국인 100명펀데이코리아네트웍스㈜무료
25생생문화재호암산성(사적 제343호)호암산성, 금천의 생생한 역사를 보다답사/탐방해당없음<NA>서울특별시금천구호암산성, 호암산의 역사를 열다호암산성을 비롯하여 호암산에 산재되어 있는 우리의 귀중한 문화유산을 전문 문화해설사와 투어를 통해 알아보는 프로그램<NA>N금천구 호암산성일반인, 청소년, 가족코리아헤리티지센터<NA>
35생생문화재서울시유형문화재제8호 사육신묘서울시유형문화재제6호 용양봉저정히(스토리), 헤(리티지), 해(피니스), 동작!교육해당없음<NA>서울특별시동작구미션세븐문화재 해설 및 사육신의 주는 일곱 개의 미션(타블로연극, 보드게임,) 진행.https://woorimunhwajae.modoo.at/?link=6tmf1gqrN사육신공원지역주민 및 일반 시민㈜우리가만드는미래무료
45생생문화재서울시유형문화재제8호 사육신묘, 서울시유형문화재제6호 용양봉저정히(스토리), 헤(리티지), 해(피니스), 동작!교육해당없음<NA>서울특별시동작구러닝힐링동작구에 있는 국립현충원과 사육신묘를 잇는 충효로를 트레킹하며 문화유산을 알아가는 프로그램https://woorimunhwajae.modoo.at/?link=c8v18xi7N국립서울현충원지역주민 및 일반 시민㈜우리가만드는미래무료
55생생문화재아차산 봉수대 터(시기념물 제15호)독립군에게 받은 한 장의 암호레터(밀서)교육해당없음<NA>서울특별시중랑구망우리 독립운동가 지킴이 양성과정중랑구 독립운동콘텐츠를 활용한 문화해설사 양성과정 프로그램<NA>N중랑구청 소회의실지역민 15명 내외한국문화관광연구소무료
65생생문화재신숭겸장군유적지역사통통,감동쏙쏙숙박여행상품(코레일·버스등)<NA>대구광역시동구공산전투로의 시간여행가족과 함께 활쏘기,연날리기등을 체험하며 느끼는 힐링프로그램www.sunbicamp.co.krN신숭겸장군유적지대구시민 가족(20명내외)영남선비문화수련원유료(식비일부 1만원)
75생생문화재국가지정무형문화재제76호와!신난다 태껸과 놀고나니 몸짱이 되어있네교육해당없음<NA>대전광역시<NA>시민과 함께하는 생생문화재 택견교실공원속에서 문화재와 함께 공존하는 생생문화재 택견교실<NA>N둔산동햇님@뒤샘머리공원내대전시민누구나(남녀노조)불특정다수한국택견협회대전지부<NA>
85생생문화재국가지정무형문화재제76호와!신난다 태껸과 놀고나니 몸짱이 되어있네교육해당없음<NA>대전광역시<NA>시민과 함께하는 생생문화재 택견교실공원속에서 문화재와 함께 공존하는 생생문화재 택견교실<NA>N전민동엑스포@근린공원야외무대앞대전시민누구나(남녀노조)불특정다수한국택견협회대전지부<NA>
95생생문화재계양산성, 부평도호부, 부평향교生生 계양여행 <3色 매력 우리고을>교육해당없음<NA>인천광역시계양구꼬마선비의 탐정도전기부평향교의 가치를 살려 현대적 교육시설로서 전통체험프로그램을 통해 항교에 대해 이해하고 더 가까이 다가가보기http://www.igycc.or.kr/business/cultural.jspN부평향교계양구주민(회당 50명 내외)계양문화원무료
문화재 유형대상문화재사업명프로그램유형연계프로그램 구분사회적약자시도구군프로그램명프로그램내용링크(URL)상시여부장소참여대상주관단체기타사항
21687문화재야행광주읍성유허 외2020 광주문화재야행야로해당없음<NA>강원도원주시강원도 무형문화재 소개마당원주 오리골 농요, 강원도 무형문화재 소개https://www.facebook.com/wonjuyahaengN원주문화원일반인강원감영<NA>
21697문화재야행왕궁리유적 외2020 익산문화재야행야화해당없음<NA>충청남도공주시제민천 별빛 음악회음악공연 및 근대영화 상영http://www.gongju.go.kr/tour/sub04_01.doN공주대학교 공주학연구원일반인반죽동 대통사지 역사공원<NA>
21707문화재야행강원감영 외2020 원주문화재야행야경해당없음<NA>제주특별자치도서귀포시서귀진 군사 연무 퍼포먼스 '서귀조점'점조대왕의 무예도보통지에 실린 연무의식 퍼포먼스WWW.sgpculturenight.orgN사)제주마을문화진흥원일반인서귀진지 내 연무장<NA>
21717문화재야행대통사지 외2020 공주문화재야행야경해당없음<NA>경상북도안동군은은한 발빛아래 안동문화를 느끼다전통예술과 달빛을 연결한 야경거리 구성http://www.adnighttrip.com/N안동축제관광재단일반인월영교 일대<NA>
21728문화재야행서귀진지 외서귀포문화재야행야설해당없음<NA>전라북도익산시퍼즐로 다시 쌓는 백제왕궁대형 퍼즐로 만든 백제왕궁을 조립해보는 협동 프로그램http://www.iksan-night.krN익산시청일반인백제광장<NA>
21738문화재야행월영대 외안동문화재야행야경해당없음<NA>전라북도군산시AR로 보는 근대문화유산AR프로그램을 활용하여 근대문화유산 탐방http://www.culture-nightgunsan.krN군산시청일반인모바일 어플활용 (비대면)<NA>
21748문화재야행왕궁리유적 외익산문화재야행야경해당없음<NA>부산광역시부산광역시1950년 그 시절 모습들1950년대 모습을 삶이라는 주제로 작품 전시http://www.busan-heritage-night.comN부산광역시청일반인임시수도기념관 일원<NA>
21758문화재야행구 조선은행 외군산문화재야행야사해당없음<NA>대구광역시대구광역시나홀로 대구문화재야행투어해설집과 영상으로 문화시설 자율 투어http://heritage-night.jung.daegu.kr/N대구광역시 중구청일반인근대골목 일원<NA>
21768문화재야행임시수도정부청사 외부산문화재야행야화해당없음<NA>충청남도공주시모던 딴스구락부1920년대 중반 라이프스타일 댄스 퍼포먼스http://www.gongju.go.kr/tour/sub04_01.doN공주대학교 공주학연구원일반인대통사지 역사공원<NA>
21778문화재야행계산성당 외대구문화재야행야경해당없음<NA>대구광역시대구 중구청사초롱 야경투어골목문화 해설사와 함께하는 청사초롱 야경투어http://heritage-night.jung.daegu.kr/N대구광역시 중구청일반인근대골목 일원<NA>

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문화재 유형대상문화재사업명프로그램유형연계프로그램 구분사회적약자시도구군프로그램명프로그램내용링크(URL)상시여부장소참여대상주관단체기타사항# duplicates
76전통산사문화재청계사 경기도 문화재자료 제8호청계사 도량 안에 신과 함께교육해당없음<NA>경기도의왕군청계 지킴이 양성과정프로그램 진행을 위한 지역주민 인력양성 교육, 대상별 프로그램에 투입되어 메인강사, 체험보조, 진행인력 등으로 활용https://www.uiwang.go.kr/UWKORINFO0101/6956950Y의왕시청지역문화재활용에 관심있는 성인 20명 내외(주)컬처앤로드<NA>4
127전통산사문화재청계사 경기도 문화재자료 제8호청계사 도량 안에 신과 함께교육해당없음<NA>경기도의왕군청계 지킴이 양성과정프로그램 진행을 위한 지역주민 인력양성 교육, 대상별 프로그램에 투입되어 메인강사, 체험보조, 진행인력 등으로 활용https://www.uiwang.go.kr/UWKORINFO0101/6956950Y청계사 설법전지역문화재활용에 관심있는 성인 20명 내외(주)컬처앤로드무료4
2512생생문화재원주매지농악 (도무형 제15-2호)원주매지농악과 생기복덕 생생문화재 마을 만들기공연/전시해당없음<NA>강원도원주시생기발랄 쌩쌩공연공연 및 체험원주매지농악을 활용한 상설공연으로 원주매지농악시연, 창작연희극, 국악콘서트, 창작판굿 등의 공연프로그램 및 체험활동www.maeji.co.krN원주매지농악전수교육관일반(사)원주매지농악보존회온라인 송출3
05살아숨쉬는향교서원대전광역시 문화재자료 제6호 진잠향교스마트한 선비들 진잠향교로 gogo!교육해당없음<NA>대전광역시유성구진잠향교이야기 들어보실래요?스토리텔링 기법을 이용하여 진잠향교의 유래와 가치, 현존하는 건물에 대한 교육 수행하여 진잠향교 해설사로 활용.<NA>N진잠향교대전시민진잠향교무료2
15살아숨쉬는향교서원도산서원(문화재자료3호)도사서원으로떠나는라온마실교육<NA><NA>대전광역시서구도산의화공민화 관련 분야 전문 강사의 강의를 통해 체계적인 민화 그리기 강좌 운영<NA>N도산서원대전시민(사)백제문화원<NA>2
25살아숨쉬는향교서원순창향교 대성전조선시대 선비들, 순창향교에 모였네!체험해당없음<NA>전라북도순창군향교에서 즐기자! 전통놀이!전통놀이지도사와 함께 하는 전통놀이 체험<NA>N순창향교 명륜당 앞관광객 및 지역민순창향교<NA>2
35살아숨쉬는향교서원화괴산 송시열 유적 (사적 제 417호) - 화양서원화양서원 1박2일 선비체험복합행사해당없음<NA>충청북도괴산군호접지몽 1박2일1박2일 동안 충청도 선비 체험에 지역 거주민과 함께 프로그램을 제공하여 외부인에게 고향의 느낌을 주려 했다. 시골이라는 장소로 도시와 다른 공간 체험을 통해 자연과 더불어 사는 방법을 보여줄 것이다.http://cafe.daum.net/hwayangseowonN화양서원, 화양구곡제한 없음. 20명 내외화양서원보존연구회유료 100002
46고택종갓집국가민속문화재 제192호 부여여흥민씨고택옛 집에서 만나는 사랑방 이야기답사/탐방해당없음<NA>충청남도부여군부르릉 문화버스여흥민씨 고택과 주변지역 한옥문화재를 살펴보는 MICE투어www.heritages.krN여흥민씨 고택 및 주변 한옥 문화재누구나 (회당 15명)주식회사 아키헤리스유료 www.heritages.kr 사전접수 필수2
56살아숨쉬는향교서원순창향교 대성전조선시대 선비들, 순창향교에 모였네!체험해당없음<NA>전라북도순창군향교에서 즐기자! 전통놀이!전통놀이지도사와 함께 하는 전통놀이 체험<NA>N순창향교 명륜당 앞관광객 및 지역민순창향교<NA>2
66살아숨쉬는향교서원진해향교 공자위패 매안지비석 (경남유형문화재 제 631호)선비문화 피움교육사회적약자어르신(65세이상)경상남도창원시유생들의 국악놀이터!-지역민 참여지역민이 참여하는 프로그램www.창원국악관현악단.comN마산향교 유림회관지역민 20명창원국악관현악단무료2