Overview

Dataset statistics

Number of variables9
Number of observations31
Missing cells16
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory76.3 B

Variable types

Categorical1
Text7
DateTime1

Dataset

Description충청북도 등록문화재의 종목, 명칭, 소재지, 관리자, 소유자, 지정일, 수량규모에 관한 정보를 제공합니다. (청주 대성고등학교 본관, 옥천성당, 대한성공회 진천성당 등)
URLhttps://www.data.go.kr/data/15090444/fileData.do

Alerts

구분 has constant value ""Constant
명칭(한자) has 1 (3.2%) missing valuesMissing
관리자(단체) has 15 (48.4%) missing valuesMissing
종목 has unique valuesUnique
명칭 has unique valuesUnique
수량규모 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:58:58.236721
Analysis finished2023-12-12 02:58:59.350140
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
등록문화재
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록문화재 31
100.0%

Length

2023-12-12T11:58:59.441972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:58:59.564275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록문화재 31
100.0%

종목
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T11:58:59.803114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.419355
Min length10

Characters and Unicode

Total characters354
Distinct characters18
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

Unique31 ?
Unique (%)100.0%

Sample

1st row등록문화재 제6호
2nd row등록문화재 제7호
3rd row등록문화재 제8호
4th row등록문화재 제9호
5th row등록문화재 제47호
ValueCountFrequency (%)
등록문화재 31
50.0%
제6호 1
 
1.6%
제790호 1
 
1.6%
제717호 1
 
1.6%
제683호 1
 
1.6%
제667호 1
 
1.6%
제666호 1
 
1.6%
제661호 1
 
1.6%
제320호 1
 
1.6%
제556호 1
 
1.6%
Other values (22) 22
35.5%
2023-12-12T11:59:00.253102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
16.7%
등 31
8.8%
문 31
8.8%
화 31
8.8%
재 31
8.8%
제 31
8.8%
호 31
8.8%
록 31
8.8%
5 16
 
4.5%
6 13
 
3.7%
Other values (8) 49
13.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
61.3%
Decimal Number 78
 
22.0%
Space Separator 59
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 16
20.5%
6 13
16.7%
3 10
12.8%
7 9
11.5%
4 7
9.0%
1 7
9.0%
2 5
 
6.4%
9 4
 
5.1%
8 4
 
5.1%
0 3
 
3.8%
Other Letter
ValueCountFrequency (%)
등 31
14.3%
문 31
14.3%
화 31
14.3%
재 31
14.3%
제 31
14.3%
호 31
14.3%
록 31
14.3%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
61.3%
Common 137
38.7%

Most frequent character per script

Common
ValueCountFrequency (%)
59
43.1%
5 16
 
11.7%
6 13
 
9.5%
3 10
 
7.3%
7 9
 
6.6%
4 7
 
5.1%
1 7
 
5.1%
2 5
 
3.6%
9 4
 
2.9%
8 4
 
2.9%
Hangul
ValueCountFrequency (%)
등 31
14.3%
문 31
14.3%
화 31
14.3%
재 31
14.3%
제 31
14.3%
호 31
14.3%
록 31
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
61.3%
ASCII 137
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
43.1%
5 16
 
11.7%
6 13
 
9.5%
3 10
 
7.3%
7 9
 
6.6%
4 7
 
5.1%
1 7
 
5.1%
2 5
 
3.6%
9 4
 
2.9%
8 4
 
2.9%
Hangul
ValueCountFrequency (%)
등 31
14.3%
문 31
14.3%
화 31
14.3%
재 31
14.3%
제 31
14.3%
호 31
14.3%
록 31
14.3%

명칭
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T11:59:00.556650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length12.806452
Min length3

Characters and Unicode

Total characters397
Distinct characters136
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row청주 대성고등학교 본관
2nd row옥천성당
3rd row대한성공회 진천성당
4th row청주 문화동 일·양 절충식 가옥
5th row영동 추풍령역 급수탑
ValueCountFrequency (%)
청주 7
 
7.1%
구 7
 
7.1%
영동 3
 
3.0%
본관 3
 
3.0%
관사 2
 
2.0%
강당 2
 
2.0%
최초 2
 
2.0%
대한민국 2
 
2.0%
제천 2
 
2.0%
연락기 1
 
1.0%
Other values (68) 68
68.7%
2023-12-12T11:59:01.070083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
17.4%
청 11
 
2.8%
기 10
 
2.5%
주 9
 
2.3%
천 8
 
2.0%
관 7
 
1.8%
사 7
 
1.8%
구 7
 
1.8%
산 7
 
1.8%
교 7
 
1.8%
Other values (126) 255
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
76.1%
Space Separator 69
 
17.4%
Decimal Number 9
 
2.3%
Close Punctuation 4
 
1.0%
Open Punctuation 4
 
1.0%
Uppercase Letter 4
 
1.0%
Dash Punctuation 3
 
0.8%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 11
 
3.6%
기 10
 
3.3%
주 9
 
3.0%
천 8
 
2.6%
관 7
 
2.3%
사 7
 
2.3%
구 7
 
2.3%
산 7
 
2.3%
교 7
 
2.3%
성 6
 
2.0%
Other values (112) 223
73.8%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
6 2
22.2%
5 2
22.2%
2 1
 
11.1%
4 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
D 1
25.0%
T 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
76.1%
Common 91
 
22.9%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 11
 
3.6%
기 10
 
3.3%
주 9
 
3.0%
천 8
 
2.6%
관 7
 
2.3%
사 7
 
2.3%
구 7
 
2.3%
산 7
 
2.3%
교 7
 
2.3%
성 6
 
2.0%
Other values (112) 223
73.8%
Common
ValueCountFrequency (%)
69
75.8%
) 4
 
4.4%
( 4
 
4.4%
1 3
 
3.3%
- 3
 
3.3%
6 2
 
2.2%
5 2
 
2.2%
· 2
 
2.2%
2 1
 
1.1%
4 1
 
1.1%
Latin
ValueCountFrequency (%)
F 1
25.0%
D 1
25.0%
T 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
76.1%
ASCII 93
 
23.4%
None 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
74.2%
) 4
 
4.3%
( 4
 
4.3%
1 3
 
3.2%
- 3
 
3.2%
6 2
 
2.2%
5 2
 
2.2%
F 1
 
1.1%
D 1
 
1.1%
T 1
 
1.1%
Other values (3) 3
 
3.2%
Hangul
ValueCountFrequency (%)
청 11
 
3.6%
기 10
 
3.3%
주 9
 
3.0%
천 8
 
2.6%
관 7
 
2.3%
사 7
 
2.3%
구 7
 
2.3%
산 7
 
2.3%
교 7
 
2.3%
성 6
 
2.0%
Other values (112) 223
73.8%
None
ValueCountFrequency (%)
· 2
100.0%

명칭(한자)
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2023-12-12T11:59:01.416821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length12.4
Min length3

Characters and Unicode

Total characters372
Distinct characters173
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row淸州 大成高等學校 本館
2nd row沃川聖堂
3rd row大韓聖公會 鎭川聖堂
4th row淸州 文化洞 日·洋 折衷式 家屋
5th row永同 秋風嶺驛 給水塔
ValueCountFrequency (%)
淸州 7
 
7.6%
舊 7
 
7.6%
永同 3
 
3.3%
本館 3
 
3.3%
講堂 2
 
2.2%
官舍 2
 
2.2%
堤川 2
 
2.2%
最初 2
 
2.2%
大韓民國 2
 
2.2%
‘復活’ 1
 
1.1%
Other values (61) 61
66.3%
2023-12-12T11:59:01.924500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
16.9%
淸 10
 
2.7%
州 9
 
2.4%
川 8
 
2.2%
舊 7
 
1.9%
國 6
 
1.6%
大 6
 
1.6%
機 6
 
1.6%
校 6
 
1.6%
學 5
 
1.3%
Other values (163) 246
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
76.1%
Space Separator 63
 
16.9%
Decimal Number 7
 
1.9%
Close Punctuation 4
 
1.1%
Open Punctuation 4
 
1.1%
Uppercase Letter 4
 
1.1%
Dash Punctuation 3
 
0.8%
Other Punctuation 2
 
0.5%
Final Punctuation 1
 
0.3%
Initial Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
淸 10
 
3.5%
州 9
 
3.2%
川 8
 
2.8%
舊 7
 
2.5%
國 6
 
2.1%
大 6
 
2.1%
機 6
 
2.1%
校 6
 
2.1%
學 5
 
1.8%
忠 4
 
1.4%
Other values (147) 216
76.3%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
5 2
28.6%
4 1
14.3%
2 1
14.3%
1 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
T 1
25.0%
D 1
25.0%
F 1
25.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 277
74.5%
Common 85
 
22.8%
Hangul 6
 
1.6%
Latin 4
 
1.1%

Most frequent character per script

Han
ValueCountFrequency (%)
淸 10
 
3.6%
州 9
 
3.2%
川 8
 
2.9%
舊 7
 
2.5%
國 6
 
2.2%
大 6
 
2.2%
機 6
 
2.2%
校 6
 
2.2%
學 5
 
1.8%
忠 4
 
1.4%
Other values (141) 210
75.8%
Common
ValueCountFrequency (%)
63
74.1%
) 4
 
4.7%
( 4
 
4.7%
- 3
 
3.5%
6 2
 
2.4%
5 2
 
2.4%
· 2
 
2.4%
’ 1
 
1.2%
4 1
 
1.2%
‘ 1
 
1.2%
Other values (2) 2
 
2.4%
Hangul
ValueCountFrequency (%)
및 1
16.7%
탕 1
16.7%
스 1
16.7%
무 1
16.7%
다 1
16.7%
리 1
16.7%
Latin
ValueCountFrequency (%)
L 1
25.0%
T 1
25.0%
D 1
25.0%
F 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 277
74.5%
ASCII 85
 
22.8%
Hangul 6
 
1.6%
None 2
 
0.5%
Punctuation 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
74.1%
) 4
 
4.7%
( 4
 
4.7%
- 3
 
3.5%
6 2
 
2.4%
5 2
 
2.4%
4 1
 
1.2%
L 1
 
1.2%
2 1
 
1.2%
T 1
 
1.2%
Other values (3) 3
 
3.5%
CJK
ValueCountFrequency (%)
淸 10
 
3.6%
州 9
 
3.2%
川 8
 
2.9%
舊 7
 
2.5%
國 6
 
2.2%
大 6
 
2.2%
機 6
 
2.2%
校 6
 
2.2%
學 5
 
1.8%
忠 4
 
1.4%
Other values (141) 210
75.8%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%
Hangul
ValueCountFrequency (%)
및 1
16.7%
탕 1
16.7%
스 1
16.7%
무 1
16.7%
다 1
16.7%
리 1
16.7%

소재지
Text

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T11:59:02.217894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length26.548387
Min length20

Characters and Unicode

Total characters823
Distinct characters102
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)74.2%

Sample

1st row충북 청주시 상당구 대성로300번길 18(내덕동)
2nd row충북 옥천군 옥천읍 삼양리 158-2번지
3rd row충북 진천군 진천읍 읍내리 63-10번지
4th row충북 청주시 상당구 대성로122번길 18 (문화동)
5th row충북 영동군 추풍령면 추풍령로 447, , 336-24 (추풍령리)
ValueCountFrequency (%)
충북 31
 
15.9%
청주시 14
 
7.2%
상당구 14
 
7.2%
남일면 6
 
3.1%
제천시 5
 
2.6%
공군박물관 4
 
2.1%
단재로 4
 
2.1%
635 4
 
2.1%
외 4
 
2.1%
영동군 3
 
1.5%
Other values (83) 106
54.4%
2023-12-12T11:59:02.873199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
19.9%
충 32
 
3.9%
북 31
 
3.8%
로 22
 
2.7%
( 21
 
2.6%
) 21
 
2.6%
1 21
 
2.6%
시 20
 
2.4%
3 19
 
2.3%
동 18
 
2.2%
Other values (92) 454
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
58.1%
Space Separator 164
 
19.9%
Decimal Number 116
 
14.1%
Open Punctuation 21
 
2.6%
Close Punctuation 21
 
2.6%
Dash Punctuation 12
 
1.5%
Other Punctuation 11
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 32
 
6.7%
북 31
 
6.5%
로 22
 
4.6%
시 20
 
4.2%
동 18
 
3.8%
군 17
 
3.6%
상 16
 
3.3%
당 16
 
3.3%
주 15
 
3.1%
천 15
 
3.1%
Other values (77) 276
57.7%
Decimal Number
ValueCountFrequency (%)
1 21
18.1%
3 19
16.4%
2 17
14.7%
5 16
13.8%
6 13
11.2%
8 9
7.8%
4 8
 
6.9%
7 6
 
5.2%
0 5
 
4.3%
9 2
 
1.7%
Space Separator
ValueCountFrequency (%)
164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
58.1%
Common 345
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 32
 
6.7%
북 31
 
6.5%
로 22
 
4.6%
시 20
 
4.2%
동 18
 
3.8%
군 17
 
3.6%
상 16
 
3.3%
당 16
 
3.3%
주 15
 
3.1%
천 15
 
3.1%
Other values (77) 276
57.7%
Common
ValueCountFrequency (%)
164
47.5%
( 21
 
6.1%
) 21
 
6.1%
1 21
 
6.1%
3 19
 
5.5%
2 17
 
4.9%
5 16
 
4.6%
6 13
 
3.8%
- 12
 
3.5%
, 11
 
3.2%
Other values (5) 30
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
58.1%
ASCII 345
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
47.5%
( 21
 
6.1%
) 21
 
6.1%
1 21
 
6.1%
3 19
 
5.5%
2 17
 
4.9%
5 16
 
4.6%
6 13
 
3.8%
- 12
 
3.5%
, 11
 
3.2%
Other values (5) 30
 
8.7%
Hangul
ValueCountFrequency (%)
충 32
 
6.7%
북 31
 
6.5%
로 22
 
4.6%
시 20
 
4.2%
동 18
 
3.8%
군 17
 
3.6%
상 16
 
3.3%
당 16
 
3.3%
주 15
 
3.1%
천 15
 
3.1%
Other values (77) 276
57.7%

관리자(단체)
Text

MISSING 

Distinct11
Distinct (%)68.8%
Missing15
Missing (%)48.4%
Memory size380.0 B
2023-12-12T11:59:03.133145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.625
Min length3

Characters and Unicode

Total characters74
Distinct characters30
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

Unique7 ?
Unique (%)43.8%

Sample

1st row청주시
2nd row옥천군
3rd row진천군
4th row청주시
5th row철도청
ValueCountFrequency (%)
제천시 3
16.7%
청주시 2
11.1%
진천군 2
11.1%
철도청 2
11.1%
충청북도 2
11.1%
옥천군 1
 
5.6%
옥천교육청 1
 
5.6%
괴산군 1
 
5.6%
영동군 1
 
5.6%
충청북도괴산증평교육지원청 1
 
5.6%
Other values (2) 2
11.1%
2023-12-12T11:59:03.549780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 9
 
12.2%
천 7
 
9.5%
시 5
 
6.8%
군 5
 
6.8%
도 5
 
6.8%
제 4
 
5.4%
충 3
 
4.1%
북 3
 
4.1%
교 2
 
2.7%
원 2
 
2.7%
Other values (20) 29
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
97.3%
Space Separator 2
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 9
 
12.5%
천 7
 
9.7%
시 5
 
6.9%
군 5
 
6.9%
도 5
 
6.9%
제 4
 
5.6%
충 3
 
4.2%
북 3
 
4.2%
교 2
 
2.8%
원 2
 
2.8%
Other values (19) 27
37.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
97.3%
Common 2
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 9
 
12.5%
천 7
 
9.7%
시 5
 
6.9%
군 5
 
6.9%
도 5
 
6.9%
제 4
 
5.6%
충 3
 
4.2%
북 3
 
4.2%
교 2
 
2.8%
원 2
 
2.8%
Other values (19) 27
37.5%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
97.3%
ASCII 2
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 9
 
12.5%
천 7
 
9.7%
시 5
 
6.9%
군 5
 
6.9%
도 5
 
6.9%
제 4
 
5.6%
충 3
 
4.2%
북 3
 
4.2%
교 2
 
2.8%
원 2
 
2.8%
Other values (19) 27
37.5%
ASCII
ValueCountFrequency (%)
2
100.0%

소유자
Text

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T11:59:03.821405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.9677419
Min length3

Characters and Unicode

Total characters185
Distinct characters67
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)61.3%

Sample

1st row학교법인 청석학원
2nd row청주교구 천주교 유지재단
3rd row재단법인대한성공회유지재단
4th row이*순
5th row철도청
ValueCountFrequency (%)
공군참모총장 5
 
13.9%
충청북도 4
 
11.1%
학교법인 2
 
5.6%
청석학원 2
 
5.6%
철도청 2
 
5.6%
유지재단 1
 
2.8%
충청북도(교육감 1
 
2.8%
충주시장 1
 
2.8%
류*수 1
 
2.8%
국가기술표준원 1
 
2.8%
Other values (16) 16
44.4%
2023-12-12T11:59:04.300199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 14
 
7.6%
공 9
 
4.9%
도 9
 
4.9%
군 7
 
3.8%
충 7
 
3.8%
교 7
 
3.8%
장 6
 
3.2%
북 6
 
3.2%
참 5
 
2.7%
모 5
 
2.7%
Other values (57) 110
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
93.0%
Space Separator 5
 
2.7%
Other Punctuation 4
 
2.2%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 14
 
8.1%
공 9
 
5.2%
도 9
 
5.2%
군 7
 
4.1%
충 7
 
4.1%
교 7
 
4.1%
장 6
 
3.5%
북 6
 
3.5%
참 5
 
2.9%
모 5
 
2.9%
Other values (53) 97
56.4%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
* 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
93.0%
Common 13
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 14
 
8.1%
공 9
 
5.2%
도 9
 
5.2%
군 7
 
4.1%
충 7
 
4.1%
교 7
 
4.1%
장 6
 
3.5%
북 6
 
3.5%
참 5
 
2.9%
모 5
 
2.9%
Other values (53) 97
56.4%
Common
ValueCountFrequency (%)
5
38.5%
* 4
30.8%
) 2
 
15.4%
( 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
93.0%
ASCII 13
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 14
 
8.1%
공 9
 
5.2%
도 9
 
5.2%
군 7
 
4.1%
충 7
 
4.1%
교 7
 
4.1%
장 6
 
3.5%
북 6
 
3.5%
참 5
 
2.9%
모 5
 
2.9%
Other values (53) 97
56.4%
ASCII
ValueCountFrequency (%)
5
38.5%
* 4
30.8%
) 2
 
15.4%
( 2
 
15.4%

지정일
Date

Distinct17
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2002-03-28 00:00:00
Maximum2021-08-11 00:00:00
2023-12-12T11:59:04.499308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:59:04.662640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

수량규모
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T11:59:04.980449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length31
Mean length14.193548
Min length2

Characters and Unicode

Total characters440
Distinct characters66
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

Unique31 ?
Unique (%)100.0%

Sample

1st row1동(1,566.3㎡)
2nd row1동(749.3㎡)
3rd row1동(205㎡)
4th row1동(143.6㎡)
5th row탑1기(h=15.5m)우물1개소(용량40톤)
ValueCountFrequency (%)
1건 3
 
7.5%
8점 2
 
5.0%
1동(400㎡ 1
 
2.5%
1동(429.77㎡ 1
 
2.5%
1동(341.82㎡ 1
 
2.5%
1동(725.06㎡ 1
 
2.5%
1동(20.9㎡ 1
 
2.5%
기장6,6m,기폭12.7m,기고3.05m,중량380kg,엔진o-200,85마력(4기통 1
 
2.5%
기장6.82m,기폭1.073m 1
 
2.5%
1동(1,566.3㎡ 1
 
2.5%
Other values (27) 27
67.5%
2023-12-12T11:59:05.530525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43
 
9.8%
. 29
 
6.6%
( 26
 
5.9%
) 26
 
5.9%
㎡ 22
 
5.0%
, 21
 
4.8%
2 21
 
4.8%
6 19
 
4.3%
4 19
 
4.3%
3 17
 
3.9%
Other values (56) 197
44.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183
41.6%
Other Letter 102
23.2%
Other Punctuation 50
 
11.4%
Open Punctuation 26
 
5.9%
Close Punctuation 26
 
5.9%
Other Symbol 22
 
5.0%
Lowercase Letter 19
 
4.3%
Space Separator 9
 
2.0%
Dash Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 17
16.7%
기 14
 
13.7%
점 5
 
4.9%
폭 5
 
4.9%
건 5
 
4.9%
장 4
 
3.9%
채 4
 
3.9%
이 3
 
2.9%
고 3
 
2.9%
량 3
 
2.9%
Other values (33) 39
38.2%
Decimal Number
ValueCountFrequency (%)
1 43
23.5%
2 21
11.5%
6 19
10.4%
4 19
10.4%
3 17
 
9.3%
0 17
 
9.3%
5 16
 
8.7%
8 12
 
6.6%
9 11
 
6.0%
7 8
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
m 16
84.2%
k 1
 
5.3%
g 1
 
5.3%
h 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 29
58.0%
, 21
42.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 22
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 318
72.3%
Hangul 102
 
23.2%
Latin 20
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 17
16.7%
기 14
 
13.7%
점 5
 
4.9%
폭 5
 
4.9%
건 5
 
4.9%
장 4
 
3.9%
채 4
 
3.9%
이 3
 
2.9%
고 3
 
2.9%
량 3
 
2.9%
Other values (33) 39
38.2%
Common
ValueCountFrequency (%)
1 43
13.5%
. 29
 
9.1%
( 26
 
8.2%
) 26
 
8.2%
㎡ 22
 
6.9%
, 21
 
6.6%
2 21
 
6.6%
6 19
 
6.0%
4 19
 
6.0%
3 17
 
5.3%
Other values (8) 75
23.6%
Latin
ValueCountFrequency (%)
m 16
80.0%
k 1
 
5.0%
g 1
 
5.0%
O 1
 
5.0%
h 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 316
71.8%
Hangul 102
 
23.2%
CJK Compat 22
 
5.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43
13.6%
. 29
 
9.2%
( 26
 
8.2%
) 26
 
8.2%
, 21
 
6.6%
2 21
 
6.6%
6 19
 
6.0%
4 19
 
6.0%
3 17
 
5.4%
0 17
 
5.4%
Other values (12) 78
24.7%
CJK Compat
ValueCountFrequency (%)
㎡ 22
100.0%
Hangul
ValueCountFrequency (%)
동 17
16.7%
기 14
 
13.7%
점 5
 
4.9%
폭 5
 
4.9%
건 5
 
4.9%
장 4
 
3.9%
채 4
 
3.9%
이 3
 
2.9%
고 3
 
2.9%
량 3
 
2.9%
Other values (33) 39
38.2%

Correlations

2023-12-12T11:59:05.701880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목명칭명칭(한자)소재지관리자(단체)소유자지정일수량규모
종목1.0001.0001.0001.0001.0001.0001.0001.000
명칭1.0001.0001.0001.0001.0001.0001.0001.000
명칭(한자)1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0000.9940.8231.000
관리자(단체)1.0001.0001.0001.0001.0001.0000.6251.000
소유자1.0001.0001.0000.9941.0001.0000.7841.000
지정일1.0001.0001.0000.8230.6250.7841.0001.000
수량규모1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T11:58:58.928995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:58:59.122144image/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.
2023-12-12T11:58:59.280030image/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

구분종목명칭명칭(한자)소재지관리자(단체)소유자지정일수량규모
0등록문화재등록문화재 제6호청주 대성고등학교 본관淸州 大成高等學校 本館충북 청주시 상당구 대성로300번길 18(내덕동)청주시학교법인 청석학원2002-03-281동(1,566.3㎡)
1등록문화재등록문화재 제7호옥천성당沃川聖堂충북 옥천군 옥천읍 삼양리 158-2번지옥천군청주교구 천주교 유지재단2002-03-281동(749.3㎡)
2등록문화재등록문화재 제8호대한성공회 진천성당大韓聖公會 鎭川聖堂충북 진천군 진천읍 읍내리 63-10번지진천군재단법인대한성공회유지재단2002-03-281동(205㎡)
3등록문화재등록문화재 제9호청주 문화동 일·양 절충식 가옥淸州 文化洞 日·洋 折衷式 家屋충북 청주시 상당구 대성로122번길 18 (문화동)청주시이*순2002-03-281동(143.6㎡)
4등록문화재등록문화재 제47호영동 추풍령역 급수탑永同 秋風嶺驛 給水塔충북 영동군 추풍령면 추풍령로 447, , 336-24 (추풍령리)철도청철도청2003-01-28탑1기(h=15.5m)우물1개소(용량40톤)
5등록문화재등록문화재 제55호청주 충청북도청 본관淸州 忠淸北道廳 本館충북 청주시 상당구 상당로 82 (문화동)충청북도충청북도2003-06-301동(3,365㎡)
6등록문화재등록문화재 제56호대한통운 제천영업소大韓通運 堤川營業所충북 제천시 화산동 화산동 238-9 외 2필지제천시대한통운(주)2003-06-301동(201.65㎡)
7등록문화재등록문화재 제57호옥천 죽향초등학교 구 교사沃川 竹香初等學校 舊 校舍충북 옥천군 옥천읍 향수1길 26 (문정리)충청북도 옥천교육청충청북도 옥천교육청2003-06-301동(264.46㎡)
8등록문화재등록문화재 제58호진천 덕산양조장鎭川 德山釀造場충북 진천군 덕산면 초금로 712, 외 1필지 (용몽리)진천군이*직2003-06-301동(347.1㎡)
9등록문화재등록문화재 제59호영동 노근리 쌍굴다리永同 老斤里 雙窟다리충북 영동군 황간면 노근1길 3-2 (노근리)철도청철도청2003-06-30교량1기(길이24.5m, 폭6.75m, 높이12.25m)
구분종목명칭명칭(한자)소재지관리자(단체)소유자지정일수량규모
21등록문화재등록문화재 제462호대한민국 최초 항공기(L-4 연락기)國産 一號 航空機 ‘復活’충북 청주시 상당구 남일면 단재로 635<NA>공군본부2010-06-25기장6.82m,기폭1.073m
22등록문화재등록문화재 제556호전기로大韓民國 最初 航空機(L-4 連絡機)충북 음성군 감곡면 영산로 360 철박물관<NA>철박물관2013-08-271건 8점
23등록문화재등록문화재 제320호국가표준 도량형 유물電氣爐충북 음성군 이수로 93 (맹동면, 국가기술표준원 계량박물관)지식경제부 기술표준원국가기술표준원2006-12-04236건(549점)
24등록문화재등록문화재 제661호의병장 유인석 심의義兵將 柳麟錫 深衣충북 제천시 의암로 566-7 (봉양읍, 의암거택)<NA>류*수2016-06-211건 3점
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