Overview

Dataset statistics

Number of variables10
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory82.3 B

Variable types

Categorical4
Text5
DateTime1

Dataset

Description충청남도 보령시 문화재명, 지정번호, 지정일, 소재지, 수량, 시대, 소유자, 관리자에 대한 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=424&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037786

Alerts

지정별 is highly overall correlated with 시대High correlation
시대 is highly overall correlated with 지정별High correlation
문화재명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:29:11.431944
Analysis finished2024-01-09 21:29:12.137323
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정별
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
문화재자료
20 
道유형문화재
11 
道기념물
9 
보물
4 
사적
3 
Other values (6)
11 

Length

Max length7
Median length6
Mean length4.8103448
Min length2

Unique

Unique3 ?
Unique (%)5.2%

Sample

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

Common Values

ValueCountFrequency (%)
문화재자료 20
34.5%
道유형문화재 11
19.0%
道기념물 9
15.5%
보물 4
 
6.9%
사적 3
 
5.2%
국가민속문화재 3
 
5.2%
道무형문화재 3
 
5.2%
道민속문화재 2
 
3.4%
국보 1
 
1.7%
천연기념물 1
 
1.7%

Length

2024-01-10T06:29:12.186502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화재자료 20
34.5%
道유형문화재 11
19.0%
道기념물 9
15.5%
보물 4
 
6.9%
사적 3
 
5.2%
국가민속문화재 3
 
5.2%
道무형문화재 3
 
5.2%
道민속문화재 2
 
3.4%
국보 1
 
1.7%
천연기념물 1
 
1.7%

번호
Text

Distinct53
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:29:12.340104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.862069
Min length1

Characters and Unicode

Total characters166
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)84.5%

Sample

1st row8
2nd row19
3rd row20
4th row47
5th row2021
ValueCountFrequency (%)
44316 3
 
5.2%
159 2
 
3.4%
139 2
 
3.4%
32 2
 
3.4%
143 1
 
1.7%
411 1
 
1.7%
8 1
 
1.7%
191 1
 
1.7%
193 1
 
1.7%
16 1
 
1.7%
Other values (43) 43
74.1%
2024-01-10T06:29:12.622285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43
25.9%
3 27
16.3%
4 21
12.7%
2 20
12.0%
0 11
 
6.6%
7 10
 
6.0%
6 9
 
5.4%
5 9
 
5.4%
9 9
 
5.4%
8 6
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 165
99.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43
26.1%
3 27
16.4%
4 21
12.7%
2 20
12.1%
0 11
 
6.7%
7 10
 
6.1%
6 9
 
5.5%
5 9
 
5.5%
9 9
 
5.5%
8 6
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 43
25.9%
3 27
16.3%
4 21
12.7%
2 20
12.0%
0 11
 
6.6%
7 10
 
6.0%
6 9
 
5.4%
5 9
 
5.4%
9 9
 
5.4%
8 6
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43
25.9%
3 27
16.3%
4 21
12.7%
2 20
12.0%
0 11
 
6.6%
7 10
 
6.0%
6 9
 
5.4%
5 9
 
5.4%
9 9
 
5.4%
8 6
 
3.6%

지정일
Date

Distinct32
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum1962-12-07 00:00:00
Maximum2019-05-30 00:00:00
2024-01-10T06:29:12.723453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:29:12.815648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

문화재명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:29:12.988807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.6034483
Min length3

Characters and Unicode

Total characters557
Distinct characters149
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

Unique58 ?
Unique (%)100.0%

Sample

1st row보령 성주사지 낭혜화상탑비
2nd row보령 성주사지 5층 석탑
3rd row보령 성주사지 중앙 3층 석탑
4th row보령 성주사지 서 3층 석탑
5th row성주사지 동 3층 석탑
ValueCountFrequency (%)
보령 28
 
19.4%
성주사지 9
 
6.2%
석탑 5
 
3.5%
충청수영 3
 
2.1%
3층 3
 
2.1%
외연도 2
 
1.4%
5층 2
 
1.4%
백운사 2
 
1.4%
선림사 2
 
1.4%
6군상무사 2
 
1.4%
Other values (82) 86
59.7%
2024-01-10T06:29:13.272016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
15.4%
보 34
 
6.1%
령 33
 
5.9%
사 19
 
3.4%
성 16
 
2.9%
석 12
 
2.2%
주 12
 
2.2%
지 12
 
2.2%
수 10
 
1.8%
청 9
 
1.6%
Other values (139) 314
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
82.6%
Space Separator 86
 
15.4%
Decimal Number 7
 
1.3%
Other Punctuation 2
 
0.4%
Math Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 34
 
7.4%
령 33
 
7.2%
사 19
 
4.1%
성 16
 
3.5%
석 12
 
2.6%
주 12
 
2.6%
지 12
 
2.6%
수 10
 
2.2%
청 9
 
2.0%
상 8
 
1.7%
Other values (132) 295
64.1%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
6 2
28.6%
5 2
28.6%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
82.6%
Common 97
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 34
 
7.4%
령 33
 
7.2%
사 19
 
4.1%
성 16
 
3.5%
석 12
 
2.6%
주 12
 
2.6%
지 12
 
2.6%
수 10
 
2.2%
청 9
 
2.0%
상 8
 
1.7%
Other values (132) 295
64.1%
Common
ValueCountFrequency (%)
86
88.7%
3 3
 
3.1%
6 2
 
2.1%
5 2
 
2.1%
, 2
 
2.1%
> 1
 
1.0%
< 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
82.6%
ASCII 97
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
88.7%
3 3
 
3.1%
6 2
 
2.1%
5 2
 
2.1%
, 2
 
2.1%
> 1
 
1.0%
< 1
 
1.0%
Hangul
ValueCountFrequency (%)
보 34
 
7.4%
령 33
 
7.2%
사 19
 
4.1%
성 16
 
3.5%
석 12
 
2.6%
주 12
 
2.6%
지 12
 
2.6%
수 10
 
2.2%
청 9
 
2.0%
상 8
 
1.7%
Other values (132) 295
64.1%

소재지
Text

Distinct49
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:29:13.526348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length25.586207
Min length18

Characters and Unicode

Total characters1484
Distinct characters97
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

Unique45 ?
Unique (%)77.6%

Sample

1st row충청남도 보령시 성주면 성주리 78
2nd row충청남도 보령시 성주면 성주리 73
3rd row충청남도 보령시 성주면 성주리 73
4th row충청남도 보령시 성주면 성주리 73
5th row충청남도 보령시 성주면 성주리 73
ValueCountFrequency (%)
충청남도 58
 
17.1%
보령시 58
 
17.1%
성주면 12
 
3.5%
성주리 12
 
3.5%
오천면 12
 
3.5%
73 7
 
2.1%
소성리 7
 
2.1%
청소면 7
 
2.1%
일원 5
 
1.5%
남포면 5
 
1.5%
Other values (124) 157
46.2%
2024-01-10T06:29:13.933423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
19.0%
청 74
 
5.0%
보 65
 
4.4%
령 64
 
4.3%
남 63
 
4.2%
도 61
 
4.1%
충 60
 
4.0%
시 58
 
3.9%
리 54
 
3.6%
면 53
 
3.6%
Other values (87) 650
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 878
59.2%
Space Separator 282
 
19.0%
Decimal Number 246
 
16.6%
Dash Punctuation 34
 
2.3%
Open Punctuation 22
 
1.5%
Close Punctuation 22
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 74
 
8.4%
보 65
 
7.4%
령 64
 
7.3%
남 63
 
7.2%
도 61
 
6.9%
충 60
 
6.8%
시 58
 
6.6%
리 54
 
6.2%
면 53
 
6.0%
성 37
 
4.2%
Other values (73) 289
32.9%
Decimal Number
ValueCountFrequency (%)
2 40
16.3%
1 38
15.4%
7 34
13.8%
3 27
11.0%
6 24
9.8%
5 22
8.9%
8 18
7.3%
4 18
7.3%
0 13
 
5.3%
9 12
 
4.9%
Space Separator
ValueCountFrequency (%)
282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 878
59.2%
Common 606
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 74
 
8.4%
보 65
 
7.4%
령 64
 
7.3%
남 63
 
7.2%
도 61
 
6.9%
충 60
 
6.8%
시 58
 
6.6%
리 54
 
6.2%
면 53
 
6.0%
성 37
 
4.2%
Other values (73) 289
32.9%
Common
ValueCountFrequency (%)
282
46.5%
2 40
 
6.6%
1 38
 
6.3%
- 34
 
5.6%
7 34
 
5.6%
3 27
 
4.5%
6 24
 
4.0%
5 22
 
3.6%
( 22
 
3.6%
) 22
 
3.6%
Other values (4) 61
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 878
59.2%
ASCII 606
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
46.5%
2 40
 
6.6%
1 38
 
6.3%
- 34
 
5.6%
7 34
 
5.6%
3 27
 
4.5%
6 24
 
4.0%
5 22
 
3.6%
( 22
 
3.6%
) 22
 
3.6%
Other values (4) 61
 
10.1%
Hangul
ValueCountFrequency (%)
청 74
 
8.4%
보 65
 
7.4%
령 64
 
7.3%
남 63
 
7.2%
도 61
 
6.9%
충 60
 
6.8%
시 58
 
6.6%
리 54
 
6.2%
면 53
 
6.0%
성 37
 
4.2%
Other values (73) 289
32.9%

수량
Categorical

Distinct15
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
1기
17 
-
15 
1동
10 
1구
4 
1주
2 
Other values (10)
10 

Length

Max length11
Median length2
Mean length2.1034483
Min length1

Unique

Unique10 ?
Unique (%)17.2%

Sample

1st row1기
2nd row1기
3rd row1기
4th row1기
5th row1기

Common Values

ValueCountFrequency (%)
1기 17
29.3%
- 15
25.9%
1동 10
17.2%
1구 4
 
6.9%
1주 2
 
3.4%
3동 1
 
1.7%
1개소 1
 
1.7%
석불1구, 비편1기 1
 
1.7%
2동 1
 
1.7%
13개소 1
 
1.7%
Other values (5) 5
 
8.6%

Length

2024-01-10T06:29:14.039510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1기 17
28.8%
15
25.4%
1동 10
16.9%
1구 4
 
6.8%
1주 2
 
3.4%
3동 1
 
1.7%
1개소 1
 
1.7%
석불1구 1
 
1.7%
비편1기 1
 
1.7%
2동 1
 
1.7%
Other values (6) 6
 
10.2%

면적
Text

Distinct46
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:29:14.175139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length5.5344828
Min length1

Characters and Unicode

Total characters321
Distinct characters24
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

Unique44 ?
Unique (%)75.9%

Sample

1st row5.6㎡
2nd row8.3㎡
3rd row8.4㎡
4th row6.8㎡
5th row6.8㎡
ValueCountFrequency (%)
12
 
20.3%
6.8㎡ 2
 
3.4%
0.3㎡ 1
 
1.7%
921.5㎡ 1
 
1.7%
1,636㎡ 1
 
1.7%
10.1㎡ 1
 
1.7%
5.6㎡ 1
 
1.7%
77,990㎡ 1
 
1.7%
14,200㎡ 1
 
1.7%
62㎡ 1
 
1.7%
Other values (37) 37
62.7%
2024-01-10T06:29:14.408148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 46
14.3%
1 30
9.3%
. 28
 
8.7%
2 22
 
6.9%
3 22
 
6.9%
, 22
 
6.9%
9 20
 
6.2%
4 20
 
6.2%
6 19
 
5.9%
5 18
 
5.6%
Other values (14) 74
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
60.7%
Other Punctuation 50
 
15.6%
Other Symbol 47
 
14.6%
Dash Punctuation 12
 
3.7%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%
Other Letter 4
 
1.2%
Math Symbol 3
 
0.9%
Lowercase Letter 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
15.4%
2 22
11.3%
3 22
11.3%
9 20
10.3%
4 20
10.3%
6 19
9.7%
5 18
9.2%
0 17
8.7%
7 16
8.2%
8 11
 
5.6%
Other Letter
ValueCountFrequency (%)
역 1
25.0%
사 1
25.0%
좌 1
25.0%
우 1
25.0%
Other Symbol
ValueCountFrequency (%)
㎡ 46
97.9%
㎢ 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 28
56.0%
, 22
44.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 316
98.4%
Hangul 4
 
1.2%
Latin 1
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 46
14.6%
1 30
9.5%
. 28
8.9%
2 22
 
7.0%
3 22
 
7.0%
, 22
 
7.0%
9 20
 
6.3%
4 20
 
6.3%
6 19
 
6.0%
5 18
 
5.7%
Other values (9) 69
21.8%
Hangul
ValueCountFrequency (%)
역 1
25.0%
사 1
25.0%
좌 1
25.0%
우 1
25.0%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270
84.1%
CJK Compat 47
 
14.6%
Hangul 4
 
1.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 46
97.9%
㎢ 1
 
2.1%
ASCII
ValueCountFrequency (%)
1 30
11.1%
. 28
10.4%
2 22
8.1%
3 22
8.1%
, 22
8.1%
9 20
 
7.4%
4 20
 
7.4%
6 19
 
7.0%
5 18
 
6.7%
0 17
 
6.3%
Other values (8) 52
19.3%
Hangul
ValueCountFrequency (%)
역 1
25.0%
사 1
25.0%
좌 1
25.0%
우 1
25.0%

시대
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
조선
26 
통일신라
9 
고려
5 
조선시대
3 
-
3 
Other values (10)
12 

Length

Max length11
Median length2
Mean length2.8965517
Min length1

Unique

Unique8 ?
Unique (%)13.8%

Sample

1st row통일신라
2nd row통일신라
3rd row통일신라
4th row통일신라
5th row신라

Common Values

ValueCountFrequency (%)
조선 26
44.8%
통일신라 9
 
15.5%
고려 5
 
8.6%
조선시대 3
 
5.2%
- 3
 
5.2%
조선후기 2
 
3.4%
시대미상 2
 
3.4%
신라 1
 
1.7%
시대없음 1
 
1.7%
1961년 1
 
1.7%
Other values (5) 5
 
8.6%

Length

2024-01-10T06:29:14.512744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조선 26
44.1%
통일신라 9
 
15.3%
고려 5
 
8.5%
조선시대 3
 
5.1%
3
 
5.1%
조선후기 2
 
3.4%
시대미상 2
 
3.4%
신라 1
 
1.7%
시대없음 1
 
1.7%
1961년 1
 
1.7%
Other values (6) 6
 
10.2%

소유자
Text

Distinct29
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:29:14.652697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length5.5
Min length2

Characters and Unicode

Total characters319
Distinct characters86
Distinct categories4 ?
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 (%)39.7%

Sample

1st row국유
2nd row국유
3rd row국유
4th row국유
5th row국유
ValueCountFrequency (%)
보령시 17
23.3%
국유 7
 
9.6%
대한불교조계종 6
 
8.2%
충남향교재단 3
 
4.1%
백운사 3
 
4.1%
원홍주육군상무사 3
 
4.1%
선림사 2
 
2.7%
선생 2
 
2.7%
경주이씨종중 1
 
1.4%
지석굴 1
 
1.4%
Other values (28) 28
38.4%
2024-01-10T06:29:14.910589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 21
 
6.6%
령 20
 
6.3%
시 17
 
5.3%
15
 
4.7%
사 13
 
4.1%
교 13
 
4.1%
유 12
 
3.8%
한 10
 
3.1%
종 10
 
3.1%
국 9
 
2.8%
Other values (76) 179
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
94.4%
Space Separator 15
 
4.7%
Other Punctuation 2
 
0.6%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 21
 
7.0%
령 20
 
6.6%
시 17
 
5.6%
사 13
 
4.3%
교 13
 
4.3%
유 12
 
4.0%
한 10
 
3.3%
종 10
 
3.3%
국 9
 
3.0%
주 8
 
2.7%
Other values (73) 168
55.8%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
94.4%
Common 18
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 21
 
7.0%
령 20
 
6.6%
시 17
 
5.6%
사 13
 
4.3%
교 13
 
4.3%
유 12
 
4.0%
한 10
 
3.3%
종 10
 
3.3%
국 9
 
3.0%
주 8
 
2.7%
Other values (73) 168
55.8%
Common
ValueCountFrequency (%)
15
83.3%
, 2
 
11.1%
6 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
94.4%
ASCII 18
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 21
 
7.0%
령 20
 
6.6%
시 17
 
5.6%
사 13
 
4.3%
교 13
 
4.3%
유 12
 
4.0%
한 10
 
3.3%
종 10
 
3.3%
국 9
 
3.0%
주 8
 
2.7%
Other values (73) 168
55.8%
ASCII
ValueCountFrequency (%)
15
83.3%
, 2
 
11.1%
6 1
 
5.6%

관리자
Categorical

Distinct24
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
보령시
30 
<NA>
 
3
대한불교조계종 백운사
 
3
대한불교조계종 선림사
 
2
지석굴 마을이장
 
1
Other values (19)
19 

Length

Max length11
Median length3
Mean length4.5689655
Min length2

Unique

Unique20 ?
Unique (%)34.5%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 30
51.7%
<NA> 3
 
5.2%
대한불교조계종 백운사 3
 
5.2%
대한불교조계종 선림사 2
 
3.4%
지석굴 마을이장 1
 
1.7%
단원사 1
 
1.7%
대한불교조계종 금강암 1
 
1.7%
남포향교 1
 
1.7%
보령향교 1
 
1.7%
한산이씨동계공파종중 1
 
1.7%
Other values (14) 14
24.1%

Length

2024-01-10T06:29:15.021779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보령시 30
46.2%
대한불교조계종 6
 
9.2%
백운사 3
 
4.6%
na 3
 
4.6%
선림사 2
 
3.1%
유림 1
 
1.5%
오천향교 1
 
1.5%
왕대사 1
 
1.5%
편무성 1
 
1.5%
신경섭 1
 
1.5%
Other values (16) 16
24.6%

Correlations

2024-01-10T06:29:15.089560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정별번호지정일문화재명소재지수량면적시대소유자관리자
지정별1.0000.9600.9851.0000.9710.0000.0000.8840.7880.000
번호0.9601.0000.9851.0000.9510.9540.9880.9940.9550.960
지정일0.9850.9851.0001.0000.9910.7850.0000.9710.9620.920
문화재명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.9710.9510.9911.0001.0000.9880.9790.9130.9991.000
수량0.0000.9540.7851.0000.9881.0000.8120.8520.7240.817
면적0.0000.9880.0001.0000.9790.8121.0000.0000.7750.981
시대0.8840.9940.9711.0000.9130.8520.0001.0000.8880.000
소유자0.7880.9550.9621.0000.9990.7240.7750.8881.0000.994
관리자0.0000.9600.9201.0001.0000.8170.9810.0000.9941.000
2024-01-10T06:29:15.208942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시대관리자수량지정별
시대1.0000.0000.3690.576
관리자0.0001.0000.3570.000
수량0.3690.3571.0000.000
지정별0.5760.0000.0001.000
2024-01-10T06:29:15.302742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정별수량시대관리자
지정별1.0000.0000.5760.000
수량0.0001.0000.3690.357
시대0.5760.3691.0000.000
관리자0.0000.3570.0001.000

Missing values

2024-01-10T06:29:11.990520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:29:12.096894image/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

지정별번호지정일문화재명소재지수량면적시대소유자관리자
0국보81962-12-20보령 성주사지 낭혜화상탑비충청남도 보령시 성주면 성주리 781기5.6㎡통일신라국유보령시
1보물191963-01-21보령 성주사지 5층 석탑충청남도 보령시 성주면 성주리 731기8.3㎡통일신라국유보령시
2보물201963-01-21보령 성주사지 중앙 3층 석탑충청남도 보령시 성주면 성주리 731기8.4㎡통일신라국유보령시
3보물471963-01-21보령 성주사지 서 3층 석탑충청남도 보령시 성주면 성주리 731기6.8㎡통일신라국유보령시
4보물20212019-03-28성주사지 동 3층 석탑충청남도 보령시 성주면 성주리 731기6.8㎡신라국유보령시
5사적3071984-08-13보령 성주사지충청남도 보령시 성주면 성주리 72 일원-67,295㎡(29,757+37,538)통일신라국유,사유보령시
6사적3211987-09-18보령 죽도 해저유물 매장해역충청남도 보령시 주교면 송학리 죽도 앞바다-7.07㎢고려국유보령시
7사적5012009-08-24보령 충청수영성충청남도 보령시 오천면 소성리 931 일원-125,326㎡(10,378+114,948)조선보령시보령시
8천연기념물1361962-12-07보령 외연도 상록수림충청남도 보령시 오천면 외연도리 산293 일원-115,144㎡(32,295+82,819)시대없음보령시보령시
9국가민속문화재443161992-07-24원홍주 등 6군상무사 단제비충청남도 보령시 청소면 죽림리 272-61기-조선시대원홍주육군상무사보령시
지정별번호지정일문화재명소재지수량면적시대소유자관리자
48문화재자료2911987-12-30신경섭가옥충청남도 보령시 청라면 장밭길 62 (장현리 688)1동426.9㎡시대미상신경섭신경섭
49문화재자료3041988-08-30편무성가옥충청남도 보령시 천북면 삼산농현길 80 (신죽리 401)1동213.4㎡시대미상편무성편무성
50문화재자료3171990-09-27대천왕대사 마애불충청남도 보령시 절길 44 (내항동 767-10)1구31,400㎡통일신라왕대사왕대사
51문화재자료3201992-08-17이지함선생 묘충청남도 보령시 주교면 고정리 산27-31기9,197㎡조선한산이씨토정공파이계원
52문화재자료3722000-09-20보령 죽청리 고인돌충청남도 보령시 웅천읍 죽청리 36212기921.5㎡청동기보령시보령시
53문화재자료3732000-09-20보령 성주사지 석불입상충청남도 보령시 성주면 성주리 731기0.3㎡통일신라보령시보령시
54문화재자료3742000-09-20보령 백운사 부도충청남도 보령시 성주면 성주리 산351기10.1㎡조선대한불교조계종 백운사대한불교조계종 백운사
55문화재자료4112010-12-30충청수영 장교청충청남도 보령시 오천면 소성리 602 일원1동1,636㎡조선보령시보령시
56문화재자료4122010-12-30충청수영 진휼청충청남도 보령시 오천면 소성리 6581동1,683㎡조선보령시보령시
57문화재자료422-12014-09-01영식필 산신도 백운사본충청남도 보령시 성주면 심원계곡로 259-200 (성주리 49)1폭-조선대한불교조계종 백운사대한불교조계종 백운사