Overview

Dataset statistics

Number of variables7
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description경기도 화성시 소재 지정문화재 데이터로 연번, 구분(국가지정문화재, 도지정문화재, 향토문화재), 문화재명, 지정번호, 위치, 소유자, 문화재 지정일 데이터를 포함하고 있습니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/3046654/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
문화재명 has unique valuesUnique
지정번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:38:55.920105
Analysis finished2023-12-12 13:38:56.889288
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:38:57.273726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median43
Q364
95-th percentile80.8
Maximum85
Range84
Interquartile range (IQR)42

Descriptive statistics

Standard deviation24.681302
Coefficient of variation (CV)0.57398377
Kurtosis-1.2
Mean43
Median Absolute Deviation (MAD)21
Skewness0
Sum3655
Variance609.16667
MonotonicityStrictly increasing
2023-12-12T22:38:57.456024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
도지정문화재
37 
향토문화재
33 
국가지정문화재
15 

Length

Max length7
Median length6
Mean length5.7882353
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도지정문화재 37
43.5%
향토문화재 33
38.8%
국가지정문화재 15
17.6%

Length

2023-12-12T22:38:57.617526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:57.760943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도지정문화재 37
43.5%
향토문화재 33
38.8%
국가지정문화재 15
17.6%

문화재명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:38:58.005547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length10.282353
Min length3

Characters and Unicode

Total characters874
Distinct characters204
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

Unique85 ?
Unique (%)100.0%

Sample

1st row용주사 동종
2nd row화성 봉림사 목조아미타여래좌상
3rd row봉림사 목조아미타불좌상 복장전적 일괄
4th row불설대보부모은중경판
5th row안성 청원사 건칠아미타여래좌상 복장전적
ValueCountFrequency (%)
화성 25
 
11.6%
용주사 15
 
6.9%
묘역 7
 
3.2%
고문서 3
 
1.4%
및 3
 
1.4%
유적 2
 
0.9%
반남박씨 2
 
0.9%
수성최씨 2
 
0.9%
정부인 2
 
0.9%
남양홍씨 2
 
0.9%
Other values (145) 153
70.8%
2023-12-12T22:38:58.382622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
15.2%
성 35
 
4.0%
화 34
 
3.9%
사 25
 
2.9%
묘 19
 
2.2%
용 18
 
2.1%
주 18
 
2.1%
정 16
 
1.8%
조 14
 
1.6%
씨 14
 
1.6%
Other values (194) 548
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
83.2%
Space Separator 133
 
15.2%
Other Punctuation 5
 
0.6%
Decimal Number 5
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 35
 
4.8%
화 34
 
4.7%
사 25
 
3.4%
묘 19
 
2.6%
용 18
 
2.5%
주 18
 
2.5%
정 16
 
2.2%
조 14
 
1.9%
씨 14
 
1.9%
고 14
 
1.9%
Other values (184) 520
71.5%
Decimal Number
ValueCountFrequency (%)
2 1
20.0%
5 1
20.0%
8 1
20.0%
3 1
20.0%
1 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
· 1
 
20.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
83.2%
Common 147
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 35
 
4.8%
화 34
 
4.7%
사 25
 
3.4%
묘 19
 
2.6%
용 18
 
2.5%
주 18
 
2.5%
정 16
 
2.2%
조 14
 
1.9%
씨 14
 
1.9%
고 14
 
1.9%
Other values (184) 520
71.5%
Common
ValueCountFrequency (%)
133
90.5%
, 4
 
2.7%
( 2
 
1.4%
) 2
 
1.4%
· 1
 
0.7%
2 1
 
0.7%
5 1
 
0.7%
8 1
 
0.7%
3 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
83.2%
ASCII 146
 
16.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
91.1%
, 4
 
2.7%
( 2
 
1.4%
) 2
 
1.4%
2 1
 
0.7%
5 1
 
0.7%
8 1
 
0.7%
3 1
 
0.7%
1 1
 
0.7%
Hangul
ValueCountFrequency (%)
성 35
 
4.8%
화 34
 
4.7%
사 25
 
3.4%
묘 19
 
2.6%
용 18
 
2.5%
주 18
 
2.5%
정 16
 
2.2%
조 14
 
1.9%
씨 14
 
1.9%
고 14
 
1.9%
Other values (184) 520
71.5%
None
ValueCountFrequency (%)
· 1
100.0%

지정번호
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:38:58.601028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9
Min length7

Characters and Unicode

Total characters765
Distinct characters32
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

Unique85 ?
Unique (%)100.0%

Sample

1st row국보제120호
2nd row보물제980호
3rd row보물제1095호
4th row보물제1754호
5th row보물 제1795호
ValueCountFrequency (%)
유형문화재 27
 
21.4%
기념물 10
 
7.9%
제5호 2
 
1.6%
문화재자료 2
 
1.6%
제4호 2
 
1.6%
제6호 2
 
1.6%
제7호 2
 
1.6%
제8호 2
 
1.6%
제9호 2
 
1.6%
제10호 2
 
1.6%
Other values (70) 73
57.9%
2023-12-12T22:38:58.926654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 85
 
11.1%
호 85
 
11.1%
문 54
 
7.1%
재 54
 
7.1%
화 54
 
7.1%
1 51
 
6.7%
44
 
5.8%
형 43
 
5.6%
유 42
 
5.5%
2 36
 
4.7%
Other values (22) 217
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
69.2%
Decimal Number 192
 
25.1%
Space Separator 44
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 85
16.1%
호 85
16.1%
문 54
10.2%
재 54
10.2%
화 54
10.2%
형 43
8.1%
유 42
7.9%
물 26
 
4.9%
기 21
 
4.0%
념 21
 
4.0%
Other values (11) 44
8.3%
Decimal Number
ValueCountFrequency (%)
1 51
26.6%
2 36
18.8%
6 18
 
9.4%
5 18
 
9.4%
4 17
 
8.9%
3 13
 
6.8%
9 11
 
5.7%
7 10
 
5.2%
0 10
 
5.2%
8 8
 
4.2%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
69.2%
Common 236
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 85
16.1%
호 85
16.1%
문 54
10.2%
재 54
10.2%
화 54
10.2%
형 43
8.1%
유 42
7.9%
물 26
 
4.9%
기 21
 
4.0%
념 21
 
4.0%
Other values (11) 44
8.3%
Common
ValueCountFrequency (%)
1 51
21.6%
44
18.6%
2 36
15.3%
6 18
 
7.6%
5 18
 
7.6%
4 17
 
7.2%
3 13
 
5.5%
9 11
 
4.7%
7 10
 
4.2%
0 10
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
69.2%
ASCII 236
30.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 85
16.1%
호 85
16.1%
문 54
10.2%
재 54
10.2%
화 54
10.2%
형 43
8.1%
유 42
7.9%
물 26
 
4.9%
기 21
 
4.0%
념 21
 
4.0%
Other values (11) 44
8.3%
ASCII
ValueCountFrequency (%)
1 51
21.6%
44
18.6%
2 36
15.3%
6 18
 
7.6%
5 18
 
7.6%
4 17
 
7.2%
3 13
 
5.5%
9 11
 
4.7%
7 10
 
4.2%
0 10
 
4.2%

위 치
Text

Distinct59
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:38:59.128542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length20.647059
Min length14

Characters and Unicode

Total characters1755
Distinct characters125
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

Unique56 ?
Unique (%)65.9%

Sample

1st row경기도 화성시 용주로 136
2nd row경기도 화성시 남양읍 주석로80번길 139
3rd row경기도 화성시 용주로 136
4th row경기도 화성시 용주로 136
5th row경기도 화성시 용주로 136
ValueCountFrequency (%)
경기도 85
20.0%
화성시 85
20.0%
용주로 23
 
5.4%
136 23
 
5.4%
일원 13
 
3.1%
향남읍 10
 
2.4%
서신면 9
 
2.1%
남양읍 8
 
1.9%
산 7
 
1.7%
내 6
 
1.4%
Other values (123) 155
36.6%
2023-12-12T22:38:59.488469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
19.7%
화 95
 
5.4%
성 89
 
5.1%
시 89
 
5.1%
기 87
 
5.0%
경 85
 
4.8%
도 85
 
4.8%
1 71
 
4.0%
6 44
 
2.5%
3 43
 
2.5%
Other values (115) 722
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1072
61.1%
Space Separator 345
 
19.7%
Decimal Number 283
 
16.1%
Dash Punctuation 30
 
1.7%
Close Punctuation 12
 
0.7%
Open Punctuation 12
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 95
 
8.9%
성 89
 
8.3%
시 89
 
8.3%
기 87
 
8.1%
경 85
 
7.9%
도 85
 
7.9%
로 40
 
3.7%
남 28
 
2.6%
주 24
 
2.2%
면 24
 
2.2%
Other values (100) 426
39.7%
Decimal Number
ValueCountFrequency (%)
1 71
25.1%
6 44
15.5%
3 43
15.2%
2 26
 
9.2%
4 22
 
7.8%
0 20
 
7.1%
8 17
 
6.0%
9 14
 
4.9%
7 13
 
4.6%
5 13
 
4.6%
Space Separator
ValueCountFrequency (%)
345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1072
61.1%
Common 683
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 95
 
8.9%
성 89
 
8.3%
시 89
 
8.3%
기 87
 
8.1%
경 85
 
7.9%
도 85
 
7.9%
로 40
 
3.7%
남 28
 
2.6%
주 24
 
2.2%
면 24
 
2.2%
Other values (100) 426
39.7%
Common
ValueCountFrequency (%)
345
50.5%
1 71
 
10.4%
6 44
 
6.4%
3 43
 
6.3%
- 30
 
4.4%
2 26
 
3.8%
4 22
 
3.2%
0 20
 
2.9%
8 17
 
2.5%
9 14
 
2.0%
Other values (5) 51
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
61.1%
ASCII 683
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
50.5%
1 71
 
10.4%
6 44
 
6.4%
3 43
 
6.3%
- 30
 
4.4%
2 26
 
3.8%
4 22
 
3.2%
0 20
 
2.9%
8 17
 
2.5%
9 14
 
2.0%
Other values (5) 51
 
7.5%
Hangul
ValueCountFrequency (%)
화 95
 
8.9%
성 89
 
8.3%
시 89
 
8.3%
기 87
 
8.1%
경 85
 
7.9%
도 85
 
7.9%
로 40
 
3.7%
남 28
 
2.6%
주 24
 
2.2%
면 24
 
2.2%
Other values (100) 426
39.7%

소유자
Text

Distinct44
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:38:59.720390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.5882353
Min length3

Characters and Unicode

Total characters475
Distinct characters110
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

Unique36 ?
Unique (%)42.4%

Sample

1st row용 주 사
2nd row봉 림 사
3rd row봉 림 사
4th row용 주 사
5th row용 주 사
ValueCountFrequency (%)
용주사 17
 
11.6%
성 12
 
8.2%
시 12
 
8.2%
화 12
 
8.2%
화성시 6
 
4.1%
사 6
 
4.1%
용 4
 
2.7%
주 4
 
2.7%
남양홍씨 3
 
2.0%
문화재청 3
 
2.0%
Other values (60) 68
46.3%
2023-12-12T22:39:00.061487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
13.1%
사 27
 
5.7%
화 24
 
5.1%
주 24
 
5.1%
용 22
 
4.6%
씨 22
 
4.6%
성 21
 
4.4%
시 18
 
3.8%
파 15
 
3.2%
공 14
 
2.9%
Other values (100) 226
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
85.9%
Space Separator 62
 
13.1%
Decimal Number 2
 
0.4%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 27
 
6.6%
화 24
 
5.9%
주 24
 
5.9%
용 22
 
5.4%
씨 22
 
5.4%
성 21
 
5.1%
시 18
 
4.4%
파 15
 
3.7%
공 14
 
3.4%
종 11
 
2.7%
Other values (95) 210
51.5%
Space Separator
ValueCountFrequency (%)
62
100.0%
Decimal Number
ValueCountFrequency (%)
0 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
85.9%
Common 67
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 27
 
6.6%
화 24
 
5.9%
주 24
 
5.9%
용 22
 
5.4%
씨 22
 
5.4%
성 21
 
5.1%
시 18
 
4.4%
파 15
 
3.7%
공 14
 
3.4%
종 11
 
2.7%
Other values (95) 210
51.5%
Common
ValueCountFrequency (%)
62
92.5%
0 2
 
3.0%
( 1
 
1.5%
/ 1
 
1.5%
) 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
85.9%
ASCII 67
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
92.5%
0 2
 
3.0%
( 1
 
1.5%
/ 1
 
1.5%
) 1
 
1.5%
Hangul
ValueCountFrequency (%)
사 27
 
6.6%
화 24
 
5.9%
주 24
 
5.9%
용 22
 
5.4%
씨 22
 
5.4%
성 21
 
5.1%
시 18
 
4.4%
파 15
 
3.7%
공 14
 
3.4%
종 11
 
2.7%
Other values (95) 210
51.5%

문화재 지정일
Text

Distinct50
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:39:00.277001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length10
Mean length10.188235
Min length10

Characters and Unicode

Total characters866
Distinct characters17
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

Unique33 ?
Unique (%)38.8%

Sample

1st row1964-03-30
2nd row1989-04-10
3rd row1991-09-30
4th row2012-02-22
5th row2012-12-27
ValueCountFrequency (%)
1986-05-20 8
 
9.4%
1972-05-04 6
 
7.1%
2019-10-24 5
 
5.9%
2009-06-24 4
 
4.7%
2020-02-20 3
 
3.5%
2016-04-07 3
 
3.5%
2001-03-30 3
 
3.5%
2007-02-28 2
 
2.4%
2011-10-04 2
 
2.4%
2008-12-04 2
 
2.4%
Other values (40) 47
55.3%
2023-12-12T22:39:00.605071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 211
24.4%
- 172
19.9%
2 136
15.7%
1 102
11.8%
9 69
 
8.0%
4 38
 
4.4%
3 29
 
3.3%
5 28
 
3.2%
8 27
 
3.1%
6 26
 
3.0%
Other values (7) 28
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
79.4%
Dash Punctuation 172
 
19.9%
Other Letter 4
 
0.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
30.7%
2 136
19.8%
1 102
14.8%
9 69
 
10.0%
4 38
 
5.5%
3 29
 
4.2%
5 28
 
4.1%
8 27
 
3.9%
6 26
 
3.8%
7 22
 
3.2%
Other Letter
ValueCountFrequency (%)
명 1
25.0%
칭 1
25.0%
변 1
25.0%
경 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 862
99.5%
Hangul 4
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 211
24.5%
- 172
20.0%
2 136
15.8%
1 102
11.8%
9 69
 
8.0%
4 38
 
4.4%
3 29
 
3.4%
5 28
 
3.2%
8 27
 
3.1%
6 26
 
3.0%
Other values (3) 24
 
2.8%
Hangul
ValueCountFrequency (%)
명 1
25.0%
칭 1
25.0%
변 1
25.0%
경 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 862
99.5%
Hangul 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 211
24.5%
- 172
20.0%
2 136
15.8%
1 102
11.8%
9 69
 
8.0%
4 38
 
4.4%
3 29
 
3.4%
5 28
 
3.2%
8 27
 
3.1%
6 26
 
3.0%
Other values (3) 24
 
2.8%
Hangul
ValueCountFrequency (%)
명 1
25.0%
칭 1
25.0%
변 1
25.0%
경 1
25.0%

Interactions

2023-12-12T22:38:56.578347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:39:00.829620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분문화재명지정번호위 치소유자문화재 지정일
연번1.0000.9511.0001.0000.7620.8840.965
구분0.9511.0001.0001.0000.8040.9361.000
문화재명1.0001.0001.0001.0001.0001.0001.000
지정번호1.0001.0001.0001.0001.0001.0001.000
위 치0.7620.8041.0001.0001.0000.9970.946
소유자0.8840.9361.0001.0000.9971.0000.923
문화재 지정일0.9651.0001.0001.0000.9460.9231.000
2023-12-12T22:39:00.942820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.904
구분0.9041.000

Missing values

2023-12-12T22:38:56.692438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:38:56.835717image/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

연번구분문화재명지정번호위 치소유자문화재 지정일
01국가지정문화재용주사 동종국보제120호경기도 화성시 용주로 136용 주 사1964-03-30
12국가지정문화재화성 봉림사 목조아미타여래좌상보물제980호경기도 화성시 남양읍 주석로80번길 139봉 림 사1989-04-10
23국가지정문화재봉림사 목조아미타불좌상 복장전적 일괄보물제1095호경기도 화성시 용주로 136봉 림 사1991-09-30
34국가지정문화재불설대보부모은중경판보물제1754호경기도 화성시 용주로 136용 주 사2012-02-22
45국가지정문화재안성 청원사 건칠아미타여래좌상 복장전적보물 제1795호경기도 화성시 용주로 136용 주 사2012-12-27
56국가지정문화재화성 용주사 대웅보전보물제1942호경기도 화성시 용주로 136용 주 사2017-08-14
67국가지정문화재화성 융릉과 건릉사적제206호경기도 화성시 효행로 481번길 21-1문화재청1970-05-26
78국가지정문화재화성 당성사적제217호경기도 화성시 서신면 상안리 산 32일원문화재청1971-04-15
89국가지정문화재화성 제암리3,1운동순국 유적사적제299호경기도 화성시 향남읍 제암길 50 일원화 성 시1982-12-21
910국가지정문화재화성 마하리 고분군사적제451호경기도 화성시 봉담읍 마하리 산40번지 일원화 성 시2003-08-29
연번구분문화재명지정번호위 치소유자문화재 지정일
7576향토문화재홍한 묘역기념물 제2호경기도 화성시 서신면 홍법리 산 70-1 일원남양홍씨 참의공파2001-03-30
7677향토문화재반남박씨 묘역기념물 제3호경기도 화성시 동탄중앙로 438-18반남박씨 창신교위종파2001-09-14
7778향토문화재노작 홍사용 묘역기념물 제4호경기도 화성시 노작로 206(노작홍사용문학관 뒤편)남양홍씨 문희공파2002-12-03
7879향토문화재수성최씨 시조묘기념물 제5호경기도 화성시 매송면 숙곡리 산 81-1 일원수성최씨대종회2007-02-28
7980향토문화재반남박씨 박원도묘기념물 제6호경기도 화성시 오산동 산88-63반남박씨 죽장공파2007-02-28
8081향토문화재조기수 묘역기념물 제7호경기도 화성시 목동 118-16풍양조씨 수일헌공종친회2008-12-04
8182향토문화재양노리 조세성묘, 조동점묘, 조완묘기념물 제8호경기도 화성시 비봉면 양노리 산26-5/12평양조씨(조한상)2013-06-25
8283향토문화재반송 탄요유적공원 탄요지기념물 제9호경기도 화성시 반송동 207 (탄요유적공원 내)화 성 시2016-04-07
8384향토문화재청계중앙공원 매장문화재 유적기념물 제10호경기도 화성시 청계동 산3 (청계중앙공원 내)화 성 시2016-04-07
8485향토문화재병점동 지석묘(고인돌)기념물제11호경기도 화성시 병점동 864-2 (병점고인돌공원) 내화성시2020-02-20