Overview

Dataset statistics

Number of variables10
Number of observations99
Missing cells91
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory82.3 B

Variable types

Text3
Categorical5
Numeric1
DateTime1

Dataset

Description대구광역시 동구의 문화재 현황 데이터입니다. 문화재명, 지정구분, 종류, 수량(보유자), 소유자(보유자 기예능), 소재지(전승지), 지정일, 관리자(대표) 등의 항목을 포함합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/3055558/fileData.do

Alerts

종류 is highly overall correlated with 지정구분 and 2 other fieldsHigh correlation
관리자(대표) is highly overall correlated with 소유자(보유자 기예능)High correlation
지정구분 is highly overall correlated with 지정번호 and 1 other fieldsHigh correlation
소유자(보유자 기예능) is highly overall correlated with 종류 and 1 other fieldsHigh correlation
지정번호 is highly overall correlated with 지정구분High correlation
수량(보유자 성명) is highly overall correlated with 종류High correlation
지정번호 has 32 (32.3%) missing valuesMissing
비고 has 59 (59.6%) missing valuesMissing
문화재명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:03:03.480735
Analysis finished2024-03-14 12:03:06.101580
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화재명
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T21:03:06.703364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length23.080808
Min length3

Characters and Unicode

Total characters2285
Distinct characters415
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st row대구 동화사 마애여래좌상(大邱 桐華寺 磨崖如來坐像)
2nd row대구 동화사 비로암 석조비로자나불좌상(大邱 桐華寺 毘盧庵 石造毘盧遮那佛坐像)
3rd row대구 동화사 비로암 삼층석탑(大邱 桐華寺 毘盧庵 三層石塔)
4th row대구 동화사 금당암 동ㆍ서삼층석탑(大邱 桐華寺 金堂庵 東ㆍ西三層石塔)
5th row대구 동화사 당간지주(大邱 桐華寺 幢竿支柱)
ValueCountFrequency (%)
대구 47
 
10.8%
동화사 35
 
8.1%
桐華寺 30
 
6.9%
파계사 11
 
2.5%
把溪寺 6
 
1.4%
북지장사 5
 
1.2%
부인사 4
 
0.9%
및 4
 
0.9%
大雄殿 3
 
0.7%
北地藏寺 3
 
0.7%
Other values (253) 286
65.9%
2024-03-14T21:03:07.891516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
 
14.7%
) 98
 
4.3%
( 98
 
4.3%
사 69
 
3.0%
寺 58
 
2.5%
大 54
 
2.4%
대 54
 
2.4%
구 52
 
2.3%
동 50
 
2.2%
邱 48
 
2.1%
Other values (405) 1369
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1744
76.3%
Space Separator 335
 
14.7%
Close Punctuation 98
 
4.3%
Open Punctuation 98
 
4.3%
Decimal Number 6
 
0.3%
Uppercase Letter 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 69
 
4.0%
寺 58
 
3.3%
大 54
 
3.1%
대 54
 
3.1%
구 52
 
3.0%
동 50
 
2.9%
邱 48
 
2.8%
화 35
 
2.0%
桐 35
 
2.0%
華 35
 
2.0%
Other values (395) 1254
71.9%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
9 1
16.7%
3 1
16.7%
Math Symbol
ValueCountFrequency (%)
～ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 897
39.3%
Han 847
37.1%
Common 539
23.6%
Latin 2
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
寺 58
 
6.8%
大 54
 
6.4%
邱 48
 
5.7%
桐 35
 
4.1%
華 35
 
4.1%
圖 17
 
2.0%
像 15
 
1.8%
庵 15
 
1.8%
藏 14
 
1.7%
溪 14
 
1.7%
Other values (228) 542
64.0%
Hangul
ValueCountFrequency (%)
사 69
 
7.7%
대 54
 
6.0%
구 52
 
5.8%
동 50
 
5.6%
화 35
 
3.9%
도 27
 
3.0%
장 20
 
2.2%
상 19
 
2.1%
암 17
 
1.9%
계 16
 
1.8%
Other values (157) 538
60.0%
Common
ValueCountFrequency (%)
335
62.2%
) 98
 
18.2%
( 98
 
18.2%
2 2
 
0.4%
1 2
 
0.4%
～ 1
 
0.2%
9 1
 
0.2%
~ 1
 
0.2%
3 1
 
0.2%
Latin
ValueCountFrequency (%)
X 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
39.2%
CJK 830
36.3%
ASCII 540
23.6%
CJK Compat Ideographs 17
 
0.7%
Compat Jamo 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
62.0%
) 98
 
18.1%
( 98
 
18.1%
X 2
 
0.4%
2 2
 
0.4%
1 2
 
0.4%
9 1
 
0.2%
~ 1
 
0.2%
3 1
 
0.2%
Hangul
ValueCountFrequency (%)
사 69
 
7.7%
대 54
 
6.0%
구 52
 
5.8%
동 50
 
5.6%
화 35
 
3.9%
도 27
 
3.0%
장 20
 
2.2%
상 19
 
2.1%
암 17
 
1.9%
계 16
 
1.8%
Other values (156) 536
59.9%
CJK
ValueCountFrequency (%)
寺 58
 
7.0%
大 54
 
6.5%
邱 48
 
5.8%
桐 35
 
4.2%
華 35
 
4.2%
圖 17
 
2.0%
像 15
 
1.8%
庵 15
 
1.8%
藏 14
 
1.7%
溪 14
 
1.7%
Other values (220) 525
63.3%
CJK Compat Ideographs
ValueCountFrequency (%)
立 3
17.6%
念 3
17.6%
樂 3
17.6%
金 2
11.8%
靈 2
11.8%
陵 2
11.8%
龍 1
 
5.9%
不 1
 
5.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
None
ValueCountFrequency (%)
～ 1
100.0%

지정구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
시지정문화재
67 
국가지정문화재
27 
국가등록문화재
 
5

Length

Max length7
Median length6
Mean length6.3232323
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시지정문화재 67
67.7%
국가지정문화재 27
27.3%
국가등록문화재 5
 
5.1%

Length

2024-03-14T21:03:08.311452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:03:08.630330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시지정문화재 67
67.7%
국가지정문화재 27
27.3%
국가등록문화재 5
 
5.1%

종류
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size920.0 B
문화재자료
29 
유형문화재
28 
보물
22 
기념물
6 
국가등록문화재
5 
Other values (6)
9 

Length

Max length7
Median length5
Mean length4.3434343
Min length2

Unique

Unique4 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화재자료 29
29.3%
유형문화재 28
28.3%
보물 22
22.2%
기념물 6
 
6.1%
국가등록문화재 5
 
5.1%
무형문화재 3
 
3.0%
국가민속문화재 2
 
2.0%
사적 1
 
1.0%
천연기념물 1
 
1.0%
국가무형문화재 1
 
1.0%

Length

2024-03-14T21:03:08.985962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화재자료 29
29.3%
유형문화재 28
28.3%
보물 22
22.2%
기념물 6
 
6.1%
국가등록문화재 5
 
5.1%
무형문화재 3
 
3.0%
국가민속문화재 2
 
2.0%
사적 1
 
1.0%
천연기념물 1
 
1.0%
국가무형문화재 1
 
1.0%

지정번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct53
Distinct (%)79.1%
Missing32
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean32.313433
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1019.0 B
2024-03-14T21:03:09.379009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q111.5
median22
Q351
95-th percentile73.7
Maximum96
Range95
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation24.554336
Coefficient of variation (CV)0.75988015
Kurtosis-0.11379762
Mean32.313433
Median Absolute Deviation (MAD)16
Skewness0.76299673
Sum2165
Variance602.91542
MonotonicityNot monotonic
2024-03-14T21:03:09.823316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 3
 
3.0%
9 3
 
3.0%
20 2
 
2.0%
4 2
 
2.0%
7 2
 
2.0%
51 2
 
2.0%
22 2
 
2.0%
21 2
 
2.0%
3 2
 
2.0%
17 2
 
2.0%
Other values (43) 45
45.5%
(Missing) 32
32.3%
ValueCountFrequency (%)
1 1
 
1.0%
3 2
2.0%
4 2
2.0%
5 1
 
1.0%
6 1
 
1.0%
7 2
2.0%
8 3
3.0%
9 3
3.0%
10 1
 
1.0%
11 1
 
1.0%
ValueCountFrequency (%)
96 1
1.0%
95 1
1.0%
94 1
1.0%
74 1
1.0%
73 1
1.0%
62 1
1.0%
61 1
1.0%
60 1
1.0%
59 1
1.0%
58 1
1.0%

수량(보유자 성명)
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size920.0 B
1동
20 
1폭
19 
1기
13 
1구
7 
1점
4 
Other values (33)
36 

Length

Max length28
Median length2
Mean length4.010101
Min length2

Unique

Unique30 ?
Unique (%)30.3%

Sample

1st row1좌
2nd row1구
3rd row1기
4th row2기
5th row1기

Common Values

ValueCountFrequency (%)
1동 20
20.2%
1폭 19
19.2%
1기 13
13.1%
1구 7
 
7.1%
1점 4
 
4.0%
1좌 2
 
2.0%
2기 2
 
2.0%
2동 2
 
2.0%
35,603㎡ 1
 
1.0%
2좌 1
 
1.0%
Other values (28) 28
28.3%

Length

2024-03-14T21:03:10.105200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1동 20
16.7%
1폭 20
16.7%
1기 13
 
10.8%
1구 7
 
5.8%
1점 6
 
5.0%
1좌 2
 
1.7%
2기 2
 
1.7%
2동 2
 
1.7%
3구 2
 
1.7%
5枚 1
 
0.8%
Other values (45) 45
37.5%

소유자(보유자 기예능)
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size920.0 B
동화사
36 
파계사
14 
대구시
6 
북지장사
5 
부인사
5 
Other values (28)
33 

Length

Max length14
Median length3
Mean length4.2525253
Min length2

Unique

Unique24 ?
Unique (%)24.2%

Sample

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

Common Values

ValueCountFrequency (%)
동화사 36
36.4%
파계사 14
 
14.1%
대구시 6
 
6.1%
북지장사 5
 
5.1%
부인사 5
 
5.1%
경주최씨 백불암파종중 3
 
3.0%
권영팔 2
 
2.0%
동화사 내원암 2
 
2.0%
국토해양부 2
 
2.0%
대구시 동구 1
 
1.0%
Other values (23) 23
23.2%

Length

2024-03-14T21:03:10.548773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동화사 38
31.9%
파계사 14
 
11.8%
대구시 7
 
5.9%
경주최씨 7
 
5.9%
북지장사 5
 
4.2%
부인사 5
 
4.2%
백불암파종중 3
 
2.5%
국토해양부 2
 
1.7%
내원암 2
 
1.7%
외 2
 
1.7%
Other values (33) 34
28.6%

소재지(전승지)
Text

Distinct52
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T21:03:11.369482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.0505051
Min length5

Characters and Unicode

Total characters797
Distinct characters56
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

Unique39 ?
Unique (%)39.4%

Sample

1st row도학동 산124-1
2nd row도학동 30
3rd row도학동 30
4th row도학동 36
5th row도학동 36
ValueCountFrequency (%)
도학동 27
 
12.3%
팔공산로 11
 
5.0%
201길 11
 
5.0%
41 11
 
5.0%
35 11
 
5.0%
신무동 8
 
3.7%
중대동 8
 
3.7%
7 8
 
3.7%
둔산동 6
 
2.7%
봉무동 5
 
2.3%
Other values (70) 113
51.6%
2024-03-14T21:03:12.452323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
15.6%
동 77
 
9.7%
1 65
 
8.2%
3 47
 
5.9%
2 37
 
4.6%
산 35
 
4.4%
4 35
 
4.4%
도 33
 
4.1%
6 29
 
3.6%
학 27
 
3.4%
Other values (46) 288
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
43.3%
Decimal Number 306
38.4%
Space Separator 124
 
15.6%
Dash Punctuation 19
 
2.4%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
22.3%
산 35
10.1%
도 33
 
9.6%
학 27
 
7.8%
로 21
 
6.1%
길 15
 
4.3%
팔 13
 
3.8%
공 13
 
3.8%
무 13
 
3.8%
대 11
 
3.2%
Other values (33) 87
25.2%
Decimal Number
ValueCountFrequency (%)
1 65
21.2%
3 47
15.4%
2 37
12.1%
4 35
11.4%
6 29
9.5%
5 26
 
8.5%
7 25
 
8.2%
0 21
 
6.9%
9 12
 
3.9%
8 9
 
2.9%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 452
56.7%
Hangul 345
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
22.3%
산 35
10.1%
도 33
 
9.6%
학 27
 
7.8%
로 21
 
6.1%
길 15
 
4.3%
팔 13
 
3.8%
공 13
 
3.8%
무 13
 
3.8%
대 11
 
3.2%
Other values (33) 87
25.2%
Common
ValueCountFrequency (%)
124
27.4%
1 65
14.4%
3 47
 
10.4%
2 37
 
8.2%
4 35
 
7.7%
6 29
 
6.4%
5 26
 
5.8%
7 25
 
5.5%
0 21
 
4.6%
- 19
 
4.2%
Other values (3) 24
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 452
56.7%
Hangul 345
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
27.4%
1 65
14.4%
3 47
 
10.4%
2 37
 
8.2%
4 35
 
7.7%
6 29
 
6.4%
5 26
 
5.8%
7 25
 
5.5%
0 21
 
4.6%
- 19
 
4.2%
Other values (3) 24
 
5.3%
Hangul
ValueCountFrequency (%)
동 77
22.3%
산 35
10.1%
도 33
 
9.6%
학 27
 
7.8%
로 21
 
6.1%
길 15
 
4.3%
팔 13
 
3.8%
공 13
 
3.8%
무 13
 
3.8%
대 11
 
3.2%
Other values (33) 87
25.2%

지정일
Date

Distinct40
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size920.0 B
Minimum1962-12-03 00:00:00
Maximum2022-12-28 00:00:00
2024-03-14T21:03:12.686128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:03:12.936446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

관리자(대표)
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size920.0 B
동화사
36 
파계사
14 
대구시 동구
11 
<NA>
6 
부인사
5 
Other values (22)
27 

Length

Max length14
Median length3
Mean length4.3535354
Min length3

Unique

Unique20 ?
Unique (%)20.2%

Sample

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

Common Values

ValueCountFrequency (%)
동화사 36
36.4%
파계사 14
 
14.1%
대구시 동구 11
 
11.1%
<NA> 6
 
6.1%
부인사 5
 
5.1%
북지장사 5
 
5.1%
권영팔(성불사) 2
 
2.0%
김이곤, 배재현 1
 
1.0%
경주최씨 칠계파종중 1
 
1.0%
최종우 1
 
1.0%
Other values (17) 17
17.2%

Length

2024-03-14T21:03:13.317907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동화사 36
29.8%
파계사 14
 
11.6%
대구시 13
 
10.7%
동구 12
 
9.9%
na 6
 
5.0%
북지장사 5
 
4.1%
경주최씨 5
 
4.1%
부인사 5
 
4.1%
권영팔(성불사 2
 
1.7%
최두영 1
 
0.8%
Other values (22) 22
18.2%

비고
Text

MISSING 

Distinct37
Distinct (%)92.5%
Missing59
Missing (%)59.6%
Memory size920.0 B
2024-03-14T21:03:14.129549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.525
Min length2

Characters and Unicode

Total characters221
Distinct characters25
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)87.5%

Sample

1st row257.7㎡
2nd row180.7㎡
3rd row60.8㎡
4th row연면적 837.1㎡
5th row총 2.5km
ValueCountFrequency (%)
9㎡ 4
 
8.3%
연면적 3
 
6.2%
보호구역 2
 
4.2%
지정면적 2
 
4.2%
41㎡ 2
 
4.2%
62.8㎡ 1
 
2.1%
322.1㎡ 1
 
2.1%
105.8㎡ 1
 
2.1%
87.1㎡ 1
 
2.1%
25.2㎡ 1
 
2.1%
Other values (30) 30
62.5%
2024-03-14T21:03:15.363314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
17.6%
. 30
13.6%
1 22
10.0%
7 15
 
6.8%
6 13
 
5.9%
2 12
 
5.4%
8 12
 
5.4%
5 12
 
5.4%
4 9
 
4.1%
9 8
 
3.6%
Other values (15) 49
22.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
52.5%
Other Symbol 39
 
17.6%
Other Punctuation 30
 
13.6%
Other Letter 26
 
11.8%
Space Separator 8
 
3.6%
Lowercase Letter 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
19.0%
7 15
12.9%
6 13
11.2%
2 12
10.3%
8 12
10.3%
5 12
10.3%
4 9
7.8%
9 8
 
6.9%
0 7
 
6.0%
3 6
 
5.2%
Other Letter
ValueCountFrequency (%)
면 5
19.2%
적 5
19.2%
연 3
11.5%
지 2
 
7.7%
정 2
 
7.7%
보 2
 
7.7%
호 2
 
7.7%
구 2
 
7.7%
역 2
 
7.7%
총 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
87.3%
Hangul 26
 
11.8%
Latin 2
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
20.2%
. 30
15.5%
1 22
11.4%
7 15
 
7.8%
6 13
 
6.7%
2 12
 
6.2%
8 12
 
6.2%
5 12
 
6.2%
4 9
 
4.7%
9 8
 
4.1%
Other values (3) 21
10.9%
Hangul
ValueCountFrequency (%)
면 5
19.2%
적 5
19.2%
연 3
11.5%
지 2
 
7.7%
정 2
 
7.7%
보 2
 
7.7%
호 2
 
7.7%
구 2
 
7.7%
역 2
 
7.7%
총 1
 
3.8%
Latin
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
70.6%
CJK Compat 39
 
17.6%
Hangul 26
 
11.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
. 30
19.2%
1 22
14.1%
7 15
9.6%
6 13
8.3%
2 12
 
7.7%
8 12
 
7.7%
5 12
 
7.7%
4 9
 
5.8%
9 8
 
5.1%
8
 
5.1%
Other values (4) 15
9.6%
Hangul
ValueCountFrequency (%)
면 5
19.2%
적 5
19.2%
연 3
11.5%
지 2
 
7.7%
정 2
 
7.7%
보 2
 
7.7%
호 2
 
7.7%
구 2
 
7.7%
역 2
 
7.7%
총 1
 
3.8%

Interactions

2024-03-14T21:03:04.781488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:03:15.626968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재명지정구분종류지정번호수량(보유자 성명)소유자(보유자 기예능)소재지(전승지)지정일관리자(대표)비고
문화재명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지정구분1.0001.0001.000NaN0.0000.5310.8920.9970.0001.000
종류1.0001.0001.0000.4380.9400.9260.9850.9480.8241.000
지정번호1.000NaN0.4381.0000.4320.6740.8960.8590.6820.979
수량(보유자 성명)1.0000.0000.9400.4321.0000.9150.9700.8600.7680.903
소유자(보유자 기예능)1.0000.5310.9260.6740.9151.0000.9990.8400.9960.000
소재지(전승지)1.0000.8920.9850.8960.9700.9991.0000.9440.9980.947
지정일1.0000.9970.9480.8590.8600.8400.9441.0000.6970.788
관리자(대표)1.0000.0000.8240.6820.7680.9960.9980.6971.0000.000
비고1.0001.0001.0000.9790.9030.0000.9470.7880.0001.000
2024-03-14T21:03:15.954218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류관리자(대표)지정구분소유자(보유자 기예능)수량(보유자 성명)
종류1.0000.4250.9570.5040.565
관리자(대표)0.4251.0000.0000.9090.253
지정구분0.9570.0001.0000.2360.000
소유자(보유자 기예능)0.5040.9090.2361.0000.405
수량(보유자 성명)0.5650.2530.0000.4051.000
2024-03-14T21:03:16.228604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호지정구분종류수량(보유자 성명)소유자(보유자 기예능)관리자(대표)
지정번호1.0001.0000.2540.0000.2480.285
지정구분1.0001.0000.9570.0000.2360.000
종류0.2540.9571.0000.5650.5040.425
수량(보유자 성명)0.0000.0000.5651.0000.4050.253
소유자(보유자 기예능)0.2480.2360.5040.4051.0000.909
관리자(대표)0.2850.0000.4250.2530.9091.000

Missing values

2024-03-14T21:03:05.129480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:03:05.618753image/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.
2024-03-14T21:03:05.954485image/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

문화재명지정구분종류지정번호수량(보유자 성명)소유자(보유자 기예능)소재지(전승지)지정일관리자(대표)비고
0대구 동화사 마애여래좌상(大邱 桐華寺 磨崖如來坐像)국가지정문화재보물<NA>1좌동화사도학동 산124-11963-01-21동화사<NA>
1대구 동화사 비로암 석조비로자나불좌상(大邱 桐華寺 毘盧庵 石造毘盧遮那佛坐像)국가지정문화재보물<NA>1구동화사도학동 301963-01-21동화사<NA>
2대구 동화사 비로암 삼층석탑(大邱 桐華寺 毘盧庵 三層石塔)국가지정문화재보물<NA>1기동화사도학동 301963-01-21동화사<NA>
3대구 동화사 금당암 동ㆍ서삼층석탑(大邱 桐華寺 金堂庵 東ㆍ西三層石塔)국가지정문화재보물<NA>2기동화사도학동 361963-01-21동화사<NA>
4대구 동화사 당간지주(大邱 桐華寺 幢竿支柱)국가지정문화재보물<NA>1기동화사도학동 361963-01-21동화사<NA>
5대구 도학동 승탑(大邱 道鶴洞 僧塔)국가지정문화재보물<NA>1기동화사도학동 361975-08-04동화사<NA>
6대구 북지장사 지장전(大邱 北地藏寺 XX殿)국가지정문화재보물<NA>1동북지장사도학동 6201984-11-26북지장사<NA>
7대구파계사건칠관음보살좌상및복장유물(大邱把溪寺乾漆觀音普薩坐像및腹藏遺物)국가지정문화재보물<NA>일괄파계사중대동 71989-04-10파계사<NA>
8파계사영산회상도(把溪寺靈山會上圖)국가지정문화재보물<NA>1폭파계사중대동 71995-01-10파계사<NA>
9자치통감 권129~132(資治通鑑 卷一百二十九～一百三十二)국가지정문화재보물<NA>4권 1책권영팔팔공로 1396-112018-10-04권영팔(성불사)<NA>
문화재명지정구분종류지정번호수량(보유자 성명)소유자(보유자 기예능)소재지(전승지)지정일관리자(대표)비고
89신숭겸영각유허비(申崇謙影閣遺墟碑)시지정문화재문화재자료461기표충제 평산신씨문중평광동 산362008-04-10대구시 동구지정면적 9㎡
90대구 동화사 금당 아미타극락회상도(大邱 桐華寺 金堂 阿彌陀極樂會上圖)시지정문화재문화재자료471폭동화사팔공산로 201길 412012-01-30동화사<NA>
91대구 동화사 대웅전 신중도(大邱 桐華寺 大雄殿 神衆圖)시지정문화재문화재자료481폭동화사팔공산로 201길 412012-01-30동화사<NA>
92대구 동화사 감로도(大邱 桐華寺 甘露圖)시지정문화재문화재자료491폭동화사팔공산로 201길 412012-01-30동화사<NA>
93대구 동화사 사천왕도(大邱 桐華寺 四天王圖)시지정문화재문화재자료504폭동화사팔공산로 201길 412012-01-30동화사<NA>
94대구 북지장사 아미타삼존불좌상(大邱 北地藏寺 阿彌陀三尊佛坐像)시지정문화재문화재자료513구북지장사도장길 2432012-01-30북지장사<NA>
95대구 파계사 아미타삼존도(大邱 把溪寺 阿彌陀三尊圖)시지정문화재문화재자료521폭파계사파계로 7412015-05-11파계사<NA>
96대구 파계사 신중도 및 복장유물 일괄(大邱 把溪寺 神衆圖 및 腹藏遺物 一括)시지정문화재문화재자료53신중도 1폭, 복장품 5件 5枚파계사파계로 7412015-05-11파계사<NA>
97대구 파계사 소장 책판 일괄(大邱 把溪寺 所藏 冊板 一括)시지정문화재문화재자료545種 86板파계사파계로 7412015-05-11파계사<NA>
98대구 북지장사 금고(大邱 北地藏寺 金鼓)시지정문화재문화재자료551점북지장사도장길 2432015-05-11북지장사<NA>