Overview

Dataset statistics

Number of variables8
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory65.9 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description청송군 관내 소재한 국가(도)지정문화재(보물, 명승, 천연기념물, 국가민속문화재, 등록문화재)와 도지정(유형, 민속, 기념물, 문화재자료) 등에 대한 기본 정보 제공.
URLhttps://www.data.go.kr/data/3036330/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 유형별High correlation
유형별 is highly overall correlated with 구분High correlation
문화재명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:48:27.519582
Analysis finished2023-12-12 04:48:28.559231
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
도지정
35 
군지정
22 
국가지정
14 

Length

Max length4
Median length3
Mean length3.1971831
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도지정 35
49.3%
군지정 22
31.0%
국가지정 14
 
19.7%

Length

2023-12-12T13:48:28.652198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:48:28.780889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도지정 35
49.3%
군지정 22
31.0%
국가지정 14
 
19.7%

유형별
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size700.0 B
유형문화유산
21 
문화재자료
17 
유형문화재
11 
천연기념물
4 
국가민속문화재
4 
Other values (7)
14 

Length

Max length7
Median length5
Mean length5.1830986
Min length2

Unique

Unique3 ?
Unique (%)4.2%

Sample

1st row보물
2nd row보물
3rd row보물
4th row천연기념물
5th row천연기념물

Common Values

ValueCountFrequency (%)
유형문화유산 21
29.6%
문화재자료 17
23.9%
유형문화재 11
15.5%
천연기념물 4
 
5.6%
국가민속문화재 4
 
5.6%
보물 3
 
4.2%
민속문화재 3
 
4.2%
무형문화재 3
 
4.2%
명승 2
 
2.8%
등록문화재 1
 
1.4%
Other values (2) 2
 
2.8%

Length

2023-12-12T13:48:28.920795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유형문화유산 21
29.6%
문화재자료 17
23.9%
유형문화재 11
15.5%
천연기념물 4
 
5.6%
국가민속문화재 4
 
5.6%
보물 3
 
4.2%
민속문화재 3
 
4.2%
무형문화재 3
 
4.2%
명승 2
 
2.8%
등록문화재 1
 
1.4%
Other values (2) 2
 
2.8%

지정번호
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:48:29.156810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.5352113
Min length1

Characters and Unicode

Total characters180
Distinct characters11
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

Unique69 ?
Unique (%)97.2%

Sample

1st row1570
2nd row1840
3rd row2049
4th row192
5th row193
ValueCountFrequency (%)
11 2
 
2.8%
23가 1
 
1.4%
4 1
 
1.4%
3 1
 
1.4%
2 1
 
1.4%
26 1
 
1.4%
25가 1
 
1.4%
24 1
 
1.4%
6 1
 
1.4%
468 1
 
1.4%
Other values (60) 60
84.5%
2023-12-12T13:48:29.547734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 33
18.3%
2 31
17.2%
5 22
12.2%
7 15
8.3%
4 15
8.3%
0 15
8.3%
3 13
 
7.2%
9 12
 
6.7%
6 12
 
6.7%
8 10
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 178
98.9%
Other Letter 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
18.5%
2 31
17.4%
5 22
12.4%
7 15
8.4%
4 15
8.4%
0 15
8.4%
3 13
 
7.3%
9 12
 
6.7%
6 12
 
6.7%
8 10
 
5.6%
Other Letter
ValueCountFrequency (%)
가 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 178
98.9%
Hangul 2
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33
18.5%
2 31
17.4%
5 22
12.4%
7 15
8.4%
4 15
8.4%
0 15
8.4%
3 13
 
7.3%
9 12
 
6.7%
6 12
 
6.7%
8 10
 
5.6%
Hangul
ValueCountFrequency (%)
가 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 33
18.5%
2 31
17.4%
5 22
12.4%
7 15
8.4%
4 15
8.4%
0 15
8.4%
3 13
 
7.3%
9 12
 
6.7%
6 12
 
6.7%
8 10
 
5.6%
Hangul
ValueCountFrequency (%)
가 2
100.0%

지정일자
Date

Distinct41
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum1967-07-11 00:00:00
Maximum2021-06-17 00:00:00
2023-12-12T13:48:29.701696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:48:29.865583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

문화재명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:48:30.067661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length19
Mean length7.6338028
Min length3

Characters and Unicode

Total characters542
Distinct characters152
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

Unique71 ?
Unique (%)100.0%

Sample

1st row청송 대전사 보광전
2nd row청송 보광사 극락전
3rd row청송 찬경루
4th row청송 신기리 느티나무
5th row청송 관리 왕버들
ValueCountFrequency (%)
청송 29
 
23.2%
일원 2
 
1.6%
찬경루 2
 
1.6%
침류정 2
 
1.6%
향나무 2
 
1.6%
편액 2
 
1.6%
상두소리 1
 
0.8%
추현 1
 
0.8%
옹기장 1
 
0.8%
한지장 1
 
0.8%
Other values (82) 82
65.6%
2023-12-12T13:48:30.412315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
10.0%
송 43
 
7.9%
청 37
 
6.8%
사 19
 
3.5%
정 18
 
3.3%
전 18
 
3.3%
대 10
 
1.8%
택 8
 
1.5%
원 8
 
1.5%
리 8
 
1.5%
Other values (142) 319
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
85.2%
Space Separator 54
 
10.0%
Decimal Number 12
 
2.2%
Open Punctuation 4
 
0.7%
Close Punctuation 4
 
0.7%
Dash Punctuation 3
 
0.6%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 43
 
9.3%
청 37
 
8.0%
사 19
 
4.1%
정 18
 
3.9%
전 18
 
3.9%
대 10
 
2.2%
택 8
 
1.7%
원 8
 
1.7%
리 8
 
1.7%
재 7
 
1.5%
Other values (133) 286
61.9%
Decimal Number
ValueCountFrequency (%)
2 7
58.3%
8 3
25.0%
3 1
 
8.3%
1 1
 
8.3%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
85.2%
Common 80
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 43
 
9.3%
청 37
 
8.0%
사 19
 
4.1%
정 18
 
3.9%
전 18
 
3.9%
대 10
 
2.2%
택 8
 
1.7%
원 8
 
1.7%
리 8
 
1.7%
재 7
 
1.5%
Other values (133) 286
61.9%
Common
ValueCountFrequency (%)
54
67.5%
2 7
 
8.8%
( 4
 
5.0%
) 4
 
5.0%
8 3
 
3.8%
- 3
 
3.8%
, 3
 
3.8%
3 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
85.2%
ASCII 80
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
67.5%
2 7
 
8.8%
( 4
 
5.0%
) 4
 
5.0%
8 3
 
3.8%
- 3
 
3.8%
, 3
 
3.8%
3 1
 
1.2%
1 1
 
1.2%
Hangul
ValueCountFrequency (%)
송 43
 
9.3%
청 37
 
8.0%
사 19
 
4.1%
정 18
 
3.9%
전 18
 
3.9%
대 10
 
2.2%
택 8
 
1.7%
원 8
 
1.7%
리 8
 
1.7%
재 7
 
1.5%
Other values (133) 286
61.9%

소재지주소
Text

Distinct62
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:48:30.719975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length22.014085
Min length19

Characters and Unicode

Total characters1563
Distinct characters102
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)81.7%

Sample

1st row경상북도 청송군 주왕산면 공원길 226
2nd row경상북도 청송군 청송읍 현충로 51-352
3rd row경상북도 청송군 청송읍 금월로 269
4th row경상북도 청송군 파천면 신기리 487-1
5th row경상북도 청송군 파천면 관리 753-1
ValueCountFrequency (%)
경상북도 70
19.4%
청송군 70
19.4%
청송읍 16
 
4.4%
파천면 15
 
4.2%
주왕산면 12
 
3.3%
진보면 9
 
2.5%
공원길 7
 
1.9%
안덕면 7
 
1.9%
226 6
 
1.7%
부남면 4
 
1.1%
Other values (117) 144
40.0%
2023-12-12T13:48:31.186177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
18.5%
송 97
 
6.2%
청 93
 
6.0%
경 72
 
4.6%
상 72
 
4.6%
도 71
 
4.5%
북 70
 
4.5%
군 70
 
4.5%
면 54
 
3.5%
2 50
 
3.2%
Other values (92) 625
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 976
62.4%
Space Separator 289
 
18.5%
Decimal Number 260
 
16.6%
Dash Punctuation 34
 
2.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 97
 
9.9%
청 93
 
9.5%
경 72
 
7.4%
상 72
 
7.4%
도 71
 
7.3%
북 70
 
7.2%
군 70
 
7.2%
면 54
 
5.5%
리 31
 
3.2%
길 26
 
2.7%
Other values (78) 320
32.8%
Decimal Number
ValueCountFrequency (%)
2 50
19.2%
1 42
16.2%
3 33
12.7%
5 29
11.2%
6 25
9.6%
4 22
8.5%
8 19
 
7.3%
7 18
 
6.9%
0 13
 
5.0%
9 9
 
3.5%
Space Separator
ValueCountFrequency (%)
289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 976
62.4%
Common 587
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 97
 
9.9%
청 93
 
9.5%
경 72
 
7.4%
상 72
 
7.4%
도 71
 
7.3%
북 70
 
7.2%
군 70
 
7.2%
면 54
 
5.5%
리 31
 
3.2%
길 26
 
2.7%
Other values (78) 320
32.8%
Common
ValueCountFrequency (%)
289
49.2%
2 50
 
8.5%
1 42
 
7.2%
- 34
 
5.8%
3 33
 
5.6%
5 29
 
4.9%
6 25
 
4.3%
4 22
 
3.7%
8 19
 
3.2%
7 18
 
3.1%
Other values (4) 26
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 976
62.4%
ASCII 587
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
49.2%
2 50
 
8.5%
1 42
 
7.2%
- 34
 
5.8%
3 33
 
5.6%
5 29
 
4.9%
6 25
 
4.3%
4 22
 
3.7%
8 19
 
3.2%
7 18
 
3.1%
Other values (4) 26
 
4.4%
Hangul
ValueCountFrequency (%)
송 97
 
9.9%
청 93
 
9.5%
경 72
 
7.4%
상 72
 
7.4%
도 71
 
7.3%
북 70
 
7.2%
군 70
 
7.2%
면 54
 
5.5%
리 31
 
3.2%
길 26
 
2.7%
Other values (78) 320
32.8%

소유자명
Text

Distinct49
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:48:31.469650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.1690141
Min length2

Characters and Unicode

Total characters438
Distinct characters102
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

Unique39 ?
Unique (%)54.9%

Sample

1st row대전사
2nd row보광사
3rd row청송심씨문중
4th row경상북도 청송군
5th row경상북도 청송군
ValueCountFrequency (%)
경상북도 11
 
11.5%
청송군 11
 
11.5%
대전사 7
 
7.3%
영양남씨문중 3
 
3.1%
경북향교재단 2
 
2.1%
등 2
 
2.1%
보광사 2
 
2.1%
청송심씨문중 2
 
2.1%
심재균 2
 
2.1%
의성김씨문중 2
 
2.1%
Other values (50) 52
54.2%
2023-12-12T13:48:31.840537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
씨 29
 
6.6%
25
 
5.7%
중 21
 
4.8%
송 20
 
4.6%
청 18
 
4.1%
사 14
 
3.2%
심 13
 
3.0%
상 13
 
3.0%
경 13
 
3.0%
북 13
 
3.0%
Other values (92) 259
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
93.8%
Space Separator 25
 
5.7%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
씨 29
 
7.1%
중 21
 
5.1%
송 20
 
4.9%
청 18
 
4.4%
사 14
 
3.4%
심 13
 
3.2%
상 13
 
3.2%
경 13
 
3.2%
북 13
 
3.2%
도 12
 
2.9%
Other values (89) 245
59.6%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
93.8%
Common 27
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
씨 29
 
7.1%
중 21
 
5.1%
송 20
 
4.9%
청 18
 
4.4%
사 14
 
3.4%
심 13
 
3.2%
상 13
 
3.2%
경 13
 
3.2%
북 13
 
3.2%
도 12
 
2.9%
Other values (89) 245
59.6%
Common
ValueCountFrequency (%)
25
92.6%
2 1
 
3.7%
1 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
93.8%
ASCII 27
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
씨 29
 
7.1%
중 21
 
5.1%
송 20
 
4.9%
청 18
 
4.4%
사 14
 
3.4%
심 13
 
3.2%
상 13
 
3.2%
경 13
 
3.2%
북 13
 
3.2%
도 12
 
2.9%
Other values (89) 245
59.6%
ASCII
ValueCountFrequency (%)
25
92.6%
2 1
 
3.7%
1 1
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-06-05
71 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-05
2nd row2023-06-05
3rd row2023-06-05
4th row2023-06-05
5th row2023-06-05

Common Values

ValueCountFrequency (%)
2023-06-05 71
100.0%

Length

2023-12-12T13:48:31.962918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:48:32.064009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-05 71
100.0%

Correlations

2023-12-12T13:48:32.134897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형별지정번호지정일자문화재명소재지주소소유자명
구분1.0001.0000.0001.0001.0000.8800.650
유형별1.0001.0000.7580.9901.0000.9610.328
지정번호0.0000.7581.0000.9911.0000.9910.990
지정일자1.0000.9900.9911.0001.0000.8740.000
문화재명1.0001.0001.0001.0001.0001.0001.000
소재지주소0.8800.9610.9910.8741.0001.0000.999
소유자명0.6500.3280.9900.0001.0000.9991.000
2023-12-12T13:48:32.234213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형별
구분1.0000.931
유형별0.9311.000
2023-12-12T13:48:32.319776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형별
구분1.0000.931
유형별0.9311.000

Missing values

2023-12-12T13:48:28.313337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:48:28.495941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분유형별지정번호지정일자문화재명소재지주소소유자명데이터기준일자
0국가지정보물15702008-07-28청송 대전사 보광전경상북도 청송군 주왕산면 공원길 226대전사2023-06-05
1국가지정보물18402014-12-17청송 보광사 극락전경상북도 청송군 청송읍 현충로 51-352보광사2023-06-05
2국가지정보물20492019-12-30청송 찬경루경상북도 청송군 청송읍 금월로 269청송심씨문중2023-06-05
3국가지정천연기념물1921967-07-11청송 신기리 느티나무경상북도 청송군 파천면 신기리 487-1경상북도 청송군2023-06-05
4국가지정천연기념물1931968-03-04청송 관리 왕버들경상북도 청송군 파천면 관리 753-1경상북도 청송군2023-06-05
5국가지정천연기념물3131982-11-04청송 장전리 향나무경상북도 청송군 안덕면 장전리 산18영양남씨문중2023-06-05
6국가지정천연기념물4011998-12-23청송 흥원리 개오동나무경상북도 청송군 부남면 흥원리 547경상북도 청송군2023-06-05
7국가지정명승112003-10-31청송 주왕산 주왕계곡 일원경상북도 청송군 주왕산면 상의리 산24번지 등 120필지경상북도 청송군 등2023-06-05
8국가지정명승1052013-03-21청송 주산지 일원경상북도 청송군 주왕산면 이전리 산41-1외8경상북도 청송군 등2023-06-05
9국가지정국가민속문화재1721984-01-10청송 성천댁경상북도 청송군 청송읍 서당길 12양혜영2023-06-05
구분유형별지정번호지정일자문화재명소재지주소소유자명데이터기준일자
61군지정유형문화유산152010-12-01망미정경상북도 청송군 청송읍 월막리 183경상북도 청송군2023-06-05
62군지정유형문화유산162010-12-01찬경루 편액경상북도 청송군 청송읍 월막리 373 (한국국학진흥원)청송심씨대종회2023-06-05
63군지정유형문화유산172010-12-01송백강릉 편액경상북도 청송군 청송읍 월막리 373 (한국국학진흥원)청송심씨대종회2023-06-05
64군지정유형문화유산192010-12-01창실고택경상북도 청송군 파천면 덕천리 209심재흥2023-06-05
65군지정유형문화유산202010-12-01조용일가옥경상북도 청송군 파천면 지경리 391조용일2023-06-05
66군지정유형문화유산212014-03-06만취정경상북도 청송군 청송읍 청운리 산35평해황씨청송 덕진공파문중2023-06-05
67군지정유형문화유산222014-03-06만우정경상북도 청송군 부남면 감연리 783청송심씨 만우공문중2023-06-05
68군지정유형문화유산232014-03-06사양서원경상북도 청송군 파천면 중평리 257평산신씨 판사공파종중2023-06-05
69군지정유형문화유산242014-03-06목계성황당경상북도 청송군 파천면 송강리 240-13경상북도 청송군2023-06-05
70군지정무형문화유산12009-09-01청송사기장경상북도 청송군 주왕산면 신점리 86경상북도 청송군2023-06-05