Overview

Dataset statistics

Number of variables10
Number of observations1024
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.1 KiB
Average record size in memory81.1 B

Variable types

Numeric1
Categorical3
Unsupported1
Text4
DateTime1

Dataset

Description충청남도 지정문화재(국가지정문화재 - 국보, 보물, 사적, 국가민속문화재, 국가무형문화재, 천연기념물, 도지정문화재-유형문화재, 기념물, 무형문화재, 민속문화재, 문화재자료) 현황 등록
Author충청남도
URLhttps://www.data.go.kr/data/3071937/fileData.do

Alerts

구분 is highly overall correlated with 종별 and 1 other fieldsHigh correlation
종별 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
형식 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 has unique valuesUnique
번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 14:01:32.722033
Analysis finished2023-12-12 14:01:33.834243
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1024
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean512.5
Minimum1
Maximum1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-12T23:01:33.933140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile52.15
Q1256.75
median512.5
Q3768.25
95-th percentile972.85
Maximum1024
Range1023
Interquartile range (IQR)511.5

Descriptive statistics

Standard deviation295.74764
Coefficient of variation (CV)0.57706857
Kurtosis-1.2
Mean512.5
Median Absolute Deviation (MAD)256
Skewness0
Sum524800
Variance87466.667
MonotonicityStrictly increasing
2023-12-12T23:01:34.108879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
514 1
 
0.1%
676 1
 
0.1%
677 1
 
0.1%
678 1
 
0.1%
679 1
 
0.1%
680 1
 
0.1%
681 1
 
0.1%
682 1
 
0.1%
683 1
 
0.1%
Other values (1014) 1014
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1024 1
0.1%
1023 1
0.1%
1022 1
0.1%
1021 1
0.1%
1020 1
0.1%
1019 1
0.1%
1018 1
0.1%
1017 1
0.1%
1016 1
0.1%
1015 1
0.1%

시군
Categorical

Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
공주시
157 
부여군
152 
논산시
92 
예산군
88 
아산시
87 
Other values (11)
448 

Length

Max length4
Median length3
Mean length3.0009766
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row천안시
2nd row보령시
3rd row부여군
4th row예산군
5th row청양군

Common Values

ValueCountFrequency (%)
공주시 157
15.3%
부여군 152
14.8%
논산시 92
9.0%
예산군 88
8.6%
아산시 87
8.5%
서산시 76
7.4%
천안시 65
6.3%
홍성군 56
 
5.5%
보령시 54
 
5.3%
청양군 41
 
4.0%
Other values (6) 156
15.2%

Length

2023-12-12T23:01:34.262448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공주시 157
15.3%
부여군 152
14.8%
논산시 92
9.0%
예산군 88
8.6%
아산시 88
8.6%
서산시 76
7.4%
천안시 65
6.3%
홍성군 56
 
5.5%
보령시 54
 
5.3%
청양군 41
 
4.0%
Other values (5) 155
15.1%

종별
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
문화재자료
315 
유형문화재
201 
기념물
163 
보물
133 
무형문화재
55 
Other values (7)
157 

Length

Max length5
Median length5
Mean length4.0185547
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화재자료 315
30.8%
유형문화재 201
19.6%
기념물 163
15.9%
보물 133
13.0%
무형문화재 55
 
5.4%
사적 51
 
5.0%
국보 30
 
2.9%
민속문화재 28
 
2.7%
국가민속 24
 
2.3%
천연기념물 17
 
1.7%
Other values (2) 7
 
0.7%

Length

2023-12-12T23:01:34.393996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화재자료 315
30.8%
유형문화재 201
19.6%
기념물 163
15.9%
보물 133
13.0%
무형문화재 55
 
5.4%
사적 51
 
5.0%
국보 30
 
2.9%
민속문화재 28
 
2.7%
국가민속 24
 
2.3%
천연기념물 17
 
1.7%
Other values (2) 7
 
0.7%

번호
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size8.1 KiB

문화재명
Text

Distinct1014
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-12T23:01:34.690778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length8.2294922
Min length2

Characters and Unicode

Total characters8427
Distinct characters398
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1006 ?
Unique (%)98.2%

Sample

1st row천안 봉선홍경사 갈기비
2nd row보령 성주사지 낭혜화상탑비
3rd row부여 정림사지 오층석탑
4th row예산 수덕사 대웅전
5th row청양 장곡사 철조약사여래좌상 및 석조대좌
ValueCountFrequency (%)
부여 45
 
2.8%
공주 39
 
2.4%
및 23
 
1.4%
보령 21
 
1.3%
서산 19
 
1.2%
청양 18
 
1.1%
서천 14
 
0.9%
아산 14
 
0.9%
논산 13
 
0.8%
천안 13
 
0.8%
Other values (1154) 1404
86.5%
2023-12-12T23:01:35.175535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
608
 
7.2%
사 374
 
4.4%
산 261
 
3.1%
석 176
 
2.1%
리 149
 
1.8%
상 148
 
1.8%
성 148
 
1.8%
지 147
 
1.7%
서 138
 
1.6%
여 131
 
1.6%
Other values (388) 6147
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7728
91.7%
Space Separator 608
 
7.2%
Close Punctuation 22
 
0.3%
Open Punctuation 22
 
0.3%
Dash Punctuation 15
 
0.2%
Decimal Number 12
 
0.1%
Other Punctuation 10
 
0.1%
Math Symbol 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 374
 
4.8%
산 261
 
3.4%
석 176
 
2.3%
리 149
 
1.9%
상 148
 
1.9%
성 148
 
1.9%
지 147
 
1.9%
서 138
 
1.8%
여 131
 
1.7%
주 124
 
1.6%
Other values (371) 5932
76.8%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
6 2
16.7%
2 2
16.7%
3 1
 
8.3%
9 1
 
8.3%
0 1
 
8.3%
4 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
, 3
30.0%
· 2
 
20.0%
Math Symbol
ValueCountFrequency (%)
< 4
40.0%
> 4
40.0%
~ 2
20.0%
Space Separator
ValueCountFrequency (%)
608
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7724
91.7%
Common 699
 
8.3%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 374
 
4.8%
산 261
 
3.4%
석 176
 
2.3%
리 149
 
1.9%
상 148
 
1.9%
성 148
 
1.9%
지 147
 
1.9%
서 138
 
1.8%
여 131
 
1.7%
주 124
 
1.6%
Other values (368) 5928
76.7%
Common
ValueCountFrequency (%)
608
87.0%
) 22
 
3.1%
( 22
 
3.1%
- 15
 
2.1%
. 5
 
0.7%
< 4
 
0.6%
1 4
 
0.6%
> 4
 
0.6%
, 3
 
0.4%
· 2
 
0.3%
Other values (7) 10
 
1.4%
Han
ValueCountFrequency (%)
石 2
50.0%
誌 1
25.0%
獸 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7724
91.7%
ASCII 697
 
8.3%
CJK 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
608
87.2%
) 22
 
3.2%
( 22
 
3.2%
- 15
 
2.2%
. 5
 
0.7%
< 4
 
0.6%
1 4
 
0.6%
> 4
 
0.6%
, 3
 
0.4%
6 2
 
0.3%
Other values (6) 8
 
1.1%
Hangul
ValueCountFrequency (%)
사 374
 
4.8%
산 261
 
3.4%
석 176
 
2.3%
리 149
 
1.9%
상 148
 
1.9%
성 148
 
1.9%
지 147
 
1.9%
서 138
 
1.8%
여 131
 
1.7%
주 124
 
1.6%
Other values (368) 5928
76.7%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
石 2
50.0%
誌 1
25.0%
獸 1
25.0%

분류
Text

Distinct150
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-12T23:01:35.427852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.3193359
Min length1

Characters and Unicode

Total characters2375
Distinct characters146
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

Unique57 ?
Unique (%)5.6%

Sample

1st row비
2nd row비
3rd row탑
4th row불전
5th row불상
ValueCountFrequency (%)
불상 108
 
10.5%
탑 68
 
6.6%
비 48
 
4.7%
사우 46
 
4.5%
가옥 46
 
4.5%
성곽 43
 
4.2%
불전 36
 
3.5%
봉토묘 36
 
3.5%
향교 34
 
3.3%
사찰 29
 
2.8%
Other values (140) 530
51.8%
2023-12-12T23:01:35.833500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
불 188
 
7.9%
상 154
 
6.5%
사 97
 
4.1%
탑 70
 
2.9%
지 63
 
2.7%
교 60
 
2.5%
류 58
 
2.4%
가 58
 
2.4%
화 58
 
2.4%
성 56
 
2.4%
Other values (136) 1513
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2374
> 99.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
불 188
 
7.9%
상 154
 
6.5%
사 97
 
4.1%
탑 70
 
2.9%
지 63
 
2.7%
교 60
 
2.5%
류 58
 
2.4%
가 58
 
2.4%
화 58
 
2.4%
성 56
 
2.4%
Other values (135) 1512
63.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2374
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
불 188
 
7.9%
상 154
 
6.5%
사 97
 
4.1%
탑 70
 
2.9%
지 63
 
2.7%
교 60
 
2.5%
류 58
 
2.4%
가 58
 
2.4%
화 58
 
2.4%
성 56
 
2.4%
Other values (135) 1512
63.7%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2374
> 99.9%
ASCII 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
불 188
 
7.9%
상 154
 
6.5%
사 97
 
4.1%
탑 70
 
2.9%
지 63
 
2.7%
교 60
 
2.5%
류 58
 
2.4%
가 58
 
2.4%
화 58
 
2.4%
성 56
 
2.4%
Other values (135) 1512
63.7%
ASCII
ValueCountFrequency (%)
1
100.0%

형식
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
부동산
714 
동산
251 
무형
 
59

Length

Max length3
Median length3
Mean length2.6972656
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부동산 714
69.7%
동산 251
 
24.5%
무형 59
 
5.8%

Length

2023-12-12T23:01:36.006952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:36.102852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부동산 714
69.7%
동산 251
 
24.5%
무형 59
 
5.8%

소유자
Text

Distinct463
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-12T23:01:36.329605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length4.515625
Min length2

Characters and Unicode

Total characters4624
Distinct characters275
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)34.1%

Sample

1st row국유
2nd row국유
3rd row국유
4th row수덕사
5th row장곡사
ValueCountFrequency (%)
국유 70
 
6.2%
충남향교재단 29
 
2.6%
국유,사유 26
 
2.3%
사유 25
 
2.2%
갑사 24
 
2.1%
부여군 23
 
2.0%
마곡사 20
 
1.8%
주지 19
 
1.7%
공주시 18
 
1.6%
개심사 16
 
1.4%
Other values (491) 857
76.0%
2023-12-12T23:01:36.746743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 322
 
7.0%
유 217
 
4.7%
국 132
 
2.9%
씨 118
 
2.6%
종 114
 
2.5%
산 113
 
2.4%
주 111
 
2.4%
104
 
2.2%
중 93
 
2.0%
군 92
 
2.0%
Other values (265) 3208
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4306
93.1%
Space Separator 104
 
2.2%
Open Punctuation 62
 
1.3%
Close Punctuation 62
 
1.3%
Other Punctuation 62
 
1.3%
Decimal Number 28
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 322
 
7.5%
유 217
 
5.0%
국 132
 
3.1%
씨 118
 
2.7%
종 114
 
2.6%
산 113
 
2.6%
주 111
 
2.6%
중 93
 
2.2%
군 92
 
2.1%
공 91
 
2.1%
Other values (251) 2903
67.4%
Decimal Number
ValueCountFrequency (%)
5 7
25.0%
4 6
21.4%
1 6
21.4%
2 3
10.7%
6 3
10.7%
3 2
 
7.1%
8 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 51
82.3%
/ 5
 
8.1%
. 4
 
6.5%
· 2
 
3.2%
Space Separator
ValueCountFrequency (%)
104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4306
93.1%
Common 318
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 322
 
7.5%
유 217
 
5.0%
국 132
 
3.1%
씨 118
 
2.7%
종 114
 
2.6%
산 113
 
2.6%
주 111
 
2.6%
중 93
 
2.2%
군 92
 
2.1%
공 91
 
2.1%
Other values (251) 2903
67.4%
Common
ValueCountFrequency (%)
104
32.7%
( 62
19.5%
) 62
19.5%
, 51
16.0%
5 7
 
2.2%
4 6
 
1.9%
1 6
 
1.9%
/ 5
 
1.6%
. 4
 
1.3%
2 3
 
0.9%
Other values (4) 8
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4306
93.1%
ASCII 316
 
6.8%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 322
 
7.5%
유 217
 
5.0%
국 132
 
3.1%
씨 118
 
2.7%
종 114
 
2.6%
산 113
 
2.6%
주 111
 
2.6%
중 93
 
2.2%
군 92
 
2.1%
공 91
 
2.1%
Other values (251) 2903
67.4%
ASCII
ValueCountFrequency (%)
104
32.9%
( 62
19.6%
) 62
19.6%
, 51
16.1%
5 7
 
2.2%
4 6
 
1.9%
1 6
 
1.9%
/ 5
 
1.6%
. 4
 
1.3%
2 3
 
0.9%
Other values (3) 6
 
1.9%
None
ValueCountFrequency (%)
· 2
100.0%

관리자
Text

Distinct404
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-12T23:01:36.968541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length4.046875
Min length2

Characters and Unicode

Total characters4144
Distinct characters242
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

Unique308 ?
Unique (%)30.1%

Sample

1st row천안시
2nd row보령시
3rd row부여군
4th row수덕사
5th row장곡사
ValueCountFrequency (%)
부여군 73
 
6.7%
공주시 45
 
4.1%
주지 32
 
2.9%
보령시 29
 
2.7%
홍성군 26
 
2.4%
예산군 25
 
2.3%
서산시 25
 
2.3%
갑사 24
 
2.2%
아산시 23
 
2.1%
서천군 21
 
1.9%
Other values (401) 762
70.2%
2023-12-12T23:01:37.332620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 265
 
6.4%
군 206
 
5.0%
시 187
 
4.5%
산 165
 
4.0%
주 144
 
3.5%
부 101
 
2.4%
여 98
 
2.4%
공 92
 
2.2%
종 92
 
2.2%
씨 88
 
2.1%
Other values (232) 2706
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4044
97.6%
Space Separator 62
 
1.5%
Close Punctuation 12
 
0.3%
Open Punctuation 12
 
0.3%
Other Punctuation 7
 
0.2%
Decimal Number 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 265
 
6.6%
군 206
 
5.1%
시 187
 
4.6%
산 165
 
4.1%
주 144
 
3.6%
부 101
 
2.5%
여 98
 
2.4%
공 92
 
2.3%
종 92
 
2.3%
씨 88
 
2.2%
Other values (224) 2606
64.4%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
4 2
28.6%
6 1
 
14.3%
5 1
 
14.3%
Space Separator
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4044
97.6%
Common 100
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 265
 
6.6%
군 206
 
5.1%
시 187
 
4.6%
산 165
 
4.1%
주 144
 
3.6%
부 101
 
2.5%
여 98
 
2.4%
공 92
 
2.3%
종 92
 
2.3%
씨 88
 
2.2%
Other values (224) 2606
64.4%
Common
ValueCountFrequency (%)
62
62.0%
) 12
 
12.0%
( 12
 
12.0%
, 7
 
7.0%
1 3
 
3.0%
4 2
 
2.0%
6 1
 
1.0%
5 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4044
97.6%
ASCII 100
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 265
 
6.6%
군 206
 
5.1%
시 187
 
4.6%
산 165
 
4.1%
주 144
 
3.6%
부 101
 
2.5%
여 98
 
2.4%
공 92
 
2.3%
종 92
 
2.3%
씨 88
 
2.2%
Other values (224) 2606
64.4%
ASCII
ValueCountFrequency (%)
62
62.0%
) 12
 
12.0%
( 12
 
12.0%
, 7
 
7.0%
1 3
 
3.0%
4 2
 
2.0%
6 1
 
1.0%
5 1
 
1.0%

지정일
Date

Distinct226
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum1959-01-23 00:00:00
Maximum2021-03-25 00:00:00
2023-12-12T23:01:37.780026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:37.958470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T23:01:33.440025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:01:38.049082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군종별형식
구분1.0000.3820.8950.689
시군0.3821.0000.3020.286
종별0.8950.3021.0000.967
형식0.6890.2860.9671.000
2023-12-12T23:01:38.143194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별시군형식
종별1.0000.1110.787
시군0.1111.0000.161
형식0.7870.1611.000
2023-12-12T23:01:38.229567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군종별형식
구분1.0000.1590.6630.542
시군0.1591.0000.1110.161
종별0.6630.1111.0000.787
형식0.5420.1610.7871.000

Missing values

2023-12-12T23:01:33.594393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:01:33.763294image/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

구분시군종별번호문화재명분류형식소유자관리자지정일
01천안시국보7천안 봉선홍경사 갈기비비부동산국유천안시1962-12-20
12보령시국보8보령 성주사지 낭혜화상탑비비부동산국유보령시1962-12-20
23부여군국보9부여 정림사지 오층석탑탑부동산국유부여군1962-12-20
34예산군국보49예산 수덕사 대웅전불전부동산수덕사수덕사1962-12-20
45청양군국보58청양 장곡사 철조약사여래좌상 및 석조대좌불상부동산장곡사장곡사1962-12-20
56아산시국보76이순신 난중일기 및 서간첩 임진장초일기류동산최순선아산시1959-01-23
67서산시국보84서산 용현리 마애여래삼존상불상부동산국유서산시1962-12-20
78공주시국보108계유명삼존천불비상불상동산국립중앙박물관국립공주박물관1962-12-20
89공주시국보154무령왕 금제관식장신구동산국립공주박물관국립공주박물관1974-07-09
910공주시국보156무령왕 금귀걸이장신구동산국립공주박물관국립공주박물관1974-07-09
구분시군종별번호문화재명분류형식소유자관리자지정일
10141015서산시문화재자료417서산 문수사 소조나한상일괄불상동산문수사문수사 주지2011-07-20
10151016부여군문화재자료418부여 고란사 목조아미타여래좌상 및 보살좌상불상동산고란사고란사 주지2011-07-20
10161017홍성군문화재자료419홍성 고산사 삼층석탑석탑부동산고산사고산사 주지2013-04-10
10171018부여군문화재자료420부여 부산서원 고문서고문서동산부산서원정림사지박물관2014-09-01
10181019서산시문화재자료421서산 서광사목조보살좌상불상동산서광사주지서광사 주지2014-09-01
10191020보령시문화재자료422-1영식필 산신도 백운사본불화동산백운사주지백운사주지2014-09-01
10201021청양군문화재자료422-2영식필 산신도 장곡사본불화동산장곡사주지장곡사주지2015-07-10
10211022공주시문화재자료423공주 동불사 목조석가여래좌상불상동산대한불교조계종동불사 주지대한불교조계종동불사 주지2019-01-30
10221023서천군문화재자료424서천 구병희가옥가옥부동산구용승 외 1인구용승 외 1인2019-08-20
10231024아산시문화재자료425아산 송암사 석조여래입상불상부동산재단법인 선학원송암사 주지2020-09-10