Overview

Dataset statistics

Number of variables7
Number of observations109
Missing cells24
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory57.2 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description경상북도 지정문화재 승격 관련 정보 현황입니다. (종별, 지정번호, 문화재명, 수량, 소유자, 소재지, 승격일자)
Author경상북도
URLhttps://www.data.go.kr/data/15071167/fileData.do

Alerts

종별 is highly overall correlated with 수량High correlation
수량 is highly overall correlated with 종별High correlation
지정번호 has 24 (22.0%) missing valuesMissing

Reproduction

Analysis started2024-03-14 23:29:50.171556
Analysis finished2024-03-14 23:29:52.840815
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종별
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1000.0 B
보물
29 
민속문화재
27 
유형문화재
23 
국가민속문화재
18 
국보
3 
Other values (5)
9 

Length

Max length7
Median length5
Mean length4.3394495
Min length2

Unique

Unique3 ?
Unique (%)2.8%

Sample

1st row국가민속문화재
2nd row유형문화재
3rd row유형문화재
4th row유형문화재
5th row유형문화재

Common Values

ValueCountFrequency (%)
보물 29
26.6%
민속문화재 27
24.8%
유형문화재 23
21.1%
국가민속문화재 18
16.5%
국보 3
 
2.8%
사적 3
 
2.8%
천연기념물 3
 
2.8%
국가무형문화재 1
 
0.9%
기념물 1
 
0.9%
명승 1
 
0.9%

Length

2024-03-15T08:29:53.034756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:29:53.391619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보물 29
26.6%
민속문화재 27
24.8%
유형문화재 23
21.1%
국가민속문화재 18
16.5%
국보 3
 
2.8%
사적 3
 
2.8%
천연기념물 3
 
2.8%
국가무형문화재 1
 
0.9%
기념물 1
 
0.9%
명승 1
 
0.9%

지정번호
Text

MISSING 

Distinct84
Distinct (%)98.8%
Missing24
Missing (%)22.0%
Memory size1000.0 B
2024-03-15T08:29:54.577922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1882353
Min length4

Characters and Unicode

Total characters356
Distinct characters12
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

Unique83 ?
Unique (%)97.6%

Sample

1st row279호
2nd row461호
3rd row462호
4th row463호
5th row464호
ValueCountFrequency (%)
181호 2
 
2.4%
285호 1
 
1.2%
284호 1
 
1.2%
1945호 1
 
1.2%
288호 1
 
1.2%
287호 1
 
1.2%
286호 1
 
1.2%
533호 1
 
1.2%
1917호 1
 
1.2%
532호 1
 
1.2%
Other values (74) 74
87.1%
2024-03-15T08:29:56.037674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 85
23.9%
1 49
13.8%
2 34
 
9.6%
4 32
 
9.0%
7 31
 
8.7%
8 29
 
8.1%
6 26
 
7.3%
5 23
 
6.5%
9 17
 
4.8%
0 15
 
4.2%
Other values (2) 15
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 269
75.6%
Other Letter 85
 
23.9%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
18.2%
2 34
12.6%
4 32
11.9%
7 31
11.5%
8 29
10.8%
6 26
9.7%
5 23
8.6%
9 17
 
6.3%
0 15
 
5.6%
3 13
 
4.8%
Other Letter
ValueCountFrequency (%)
호 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 271
76.1%
Hangul 85
 
23.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 49
18.1%
2 34
12.5%
4 32
11.8%
7 31
11.4%
8 29
10.7%
6 26
9.6%
5 23
8.5%
9 17
 
6.3%
0 15
 
5.5%
3 13
 
4.8%
Hangul
ValueCountFrequency (%)
호 85
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 271
76.1%
Hangul 85
 
23.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 85
100.0%
ASCII
ValueCountFrequency (%)
1 49
18.1%
2 34
12.5%
4 32
11.8%
7 31
11.4%
8 29
10.7%
6 26
9.6%
5 23
8.5%
9 17
 
6.3%
0 15
 
5.5%
3 13
 
4.8%

문화재명
Text

Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1000.0 B
2024-03-15T08:29:57.010295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length9.587156
Min length3

Characters and Unicode

Total characters1045
Distinct characters193
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)96.3%

Sample

1st row봉화 만산고택
2nd row포항 보경사 대웅전
3rd row포항 우각리 여주이씨 고택
4th row김천 김산향교
5th row구미 인동향교 대성전
ValueCountFrequency (%)
안동 14
 
4.7%
의성 8
 
2.7%
포항 8
 
2.7%
종택 8
 
2.7%
대웅전 7
 
2.4%
봉화 7
 
2.4%
청도 7
 
2.4%
예천 6
 
2.0%
상주 6
 
2.0%
문경 6
 
2.0%
Other values (173) 218
73.9%
2024-03-15T08:29:58.690501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
18.0%
사 43
 
4.1%
동 28
 
2.7%
택 27
 
2.6%
전 21
 
2.0%
대 21
 
2.0%
고 20
 
1.9%
성 19
 
1.8%
주 18
 
1.7%
상 18
 
1.7%
Other values (183) 642
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
81.5%
Space Separator 188
 
18.0%
Other Punctuation 3
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 43
 
5.0%
동 28
 
3.3%
택 27
 
3.2%
전 21
 
2.5%
대 21
 
2.5%
고 20
 
2.3%
성 19
 
2.2%
주 18
 
2.1%
상 18
 
2.1%
안 16
 
1.9%
Other values (178) 621
72.9%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 852
81.5%
Common 193
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 43
 
5.0%
동 28
 
3.3%
택 27
 
3.2%
전 21
 
2.5%
대 21
 
2.5%
고 20
 
2.3%
성 19
 
2.2%
주 18
 
2.1%
상 18
 
2.1%
안 16
 
1.9%
Other values (178) 621
72.9%
Common
ValueCountFrequency (%)
188
97.4%
· 2
 
1.0%
( 1
 
0.5%
, 1
 
0.5%
) 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 852
81.5%
ASCII 191
 
18.3%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
98.4%
( 1
 
0.5%
, 1
 
0.5%
) 1
 
0.5%
Hangul
ValueCountFrequency (%)
사 43
 
5.0%
동 28
 
3.3%
택 27
 
3.2%
전 21
 
2.5%
대 21
 
2.5%
고 20
 
2.3%
성 19
 
2.2%
주 18
 
2.1%
상 18
 
2.1%
안 16
 
1.9%
Other values (178) 621
72.9%
None
ValueCountFrequency (%)
· 2
100.0%

수량
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size1000.0 B
1동
37 
1곽
16 
2동
8 
1기
5 
4동
4 
Other values (30)
39 

Length

Max length13
Median length2
Mean length2.8623853
Min length2

Unique

Unique25 ?
Unique (%)22.9%

Sample

1st row4동
2nd row1동
3rd row1곽 6동
4th row1곽
5th row1동

Common Values

ValueCountFrequency (%)
1동 37
33.9%
1곽 16
14.7%
2동 8
 
7.3%
1기 5
 
4.6%
4동 4
 
3.7%
3동 4
 
3.7%
1구 3
 
2.8%
1곽 6동 3
 
2.8%
1폭 2
 
1.8%
1축 2
 
1.8%
Other values (25) 25
22.9%

Length

2024-03-15T08:29:59.125002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1동 38
31.4%
1곽 20
16.5%
2동 8
 
6.6%
1기 5
 
4.1%
4동 4
 
3.3%
3동 4
 
3.3%
1구 4
 
3.3%
6동 3
 
2.5%
1폭 2
 
1.7%
1축 2
 
1.7%
Other values (31) 31
25.6%

소유자
Text

Distinct95
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size1000.0 B
2024-03-15T08:30:00.566636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.8073394
Min length3

Characters and Unicode

Total characters524
Distinct characters140
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

Unique86 ?
Unique (%)78.9%

Sample

1st row강백기
2nd row보경사
3rd row이승택
4th row경북향교재단
5th row경북향교재단
ValueCountFrequency (%)
경북향교재단 7
 
5.1%
문중 4
 
2.9%
유 3
 
2.2%
종중 3
 
2.2%
국 3
 
2.2%
보경사 3
 
2.2%
및 2
 
1.5%
외 2
 
1.5%
대곡사 2
 
1.5%
사유 2
 
1.5%
Other values (100) 106
77.4%
2024-03-15T08:30:02.583987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
5.9%
사 29
 
5.5%
씨 20
 
3.8%
중 17
 
3.2%
이 17
 
3.2%
경 15
 
2.9%
종 14
 
2.7%
문 12
 
2.3%
대 10
 
1.9%
파 9
 
1.7%
Other values (130) 350
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
93.5%
Space Separator 31
 
5.9%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 29
 
5.9%
씨 20
 
4.1%
중 17
 
3.5%
이 17
 
3.5%
경 15
 
3.1%
종 14
 
2.9%
문 12
 
2.4%
대 10
 
2.0%
파 9
 
1.8%
재 9
 
1.8%
Other values (126) 338
69.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
93.5%
Common 34
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 29
 
5.9%
씨 20
 
4.1%
중 17
 
3.5%
이 17
 
3.5%
경 15
 
3.1%
종 14
 
2.9%
문 12
 
2.4%
대 10
 
2.0%
파 9
 
1.8%
재 9
 
1.8%
Other values (126) 338
69.0%
Common
ValueCountFrequency (%)
31
91.2%
( 1
 
2.9%
) 1
 
2.9%
1 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
93.5%
ASCII 34
 
6.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
91.2%
( 1
 
2.9%
) 1
 
2.9%
1 1
 
2.9%
Hangul
ValueCountFrequency (%)
사 29
 
5.9%
씨 20
 
4.1%
중 17
 
3.5%
이 17
 
3.5%
경 15
 
3.1%
종 14
 
2.9%
문 12
 
2.4%
대 10
 
2.0%
파 9
 
1.8%
재 9
 
1.8%
Other values (126) 338
69.0%

소재지
Text

Distinct104
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size1000.0 B
2024-03-15T08:30:03.837773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length16.440367
Min length12

Characters and Unicode

Total characters1792
Distinct characters183
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

Unique99 ?
Unique (%)90.8%

Sample

1st row봉화군 춘양면 서동길21-19
2nd row포항시 북구 송라면 보경로 523
3rd row포항시 신광면 비학로 696번길15
4th row김천시 김산향교1길 2-19
5th row구미시 장천면 신장2길 272
ValueCountFrequency (%)
안동시 15
 
3.5%
봉화군 9
 
2.1%
의성군 8
 
1.9%
경주시 8
 
1.9%
청도군 7
 
1.6%
영덕군 7
 
1.6%
상주시 7
 
1.6%
포항시 6
 
1.4%
문경시 6
 
1.4%
용문면 6
 
1.4%
Other values (263) 351
81.6%
2024-03-15T08:30:05.570815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
 
18.2%
면 76
 
4.2%
1 71
 
4.0%
길 63
 
3.5%
2 57
 
3.2%
군 56
 
3.1%
시 54
 
3.0%
3 45
 
2.5%
- 41
 
2.3%
6 35
 
2.0%
Other values (173) 967
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1058
59.0%
Decimal Number 363
 
20.3%
Space Separator 327
 
18.2%
Dash Punctuation 41
 
2.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 76
 
7.2%
길 63
 
6.0%
군 56
 
5.3%
시 54
 
5.1%
동 32
 
3.0%
리 27
 
2.6%
로 27
 
2.6%
천 24
 
2.3%
산 24
 
2.3%
읍 21
 
2.0%
Other values (158) 654
61.8%
Decimal Number
ValueCountFrequency (%)
1 71
19.6%
2 57
15.7%
3 45
12.4%
6 35
9.6%
5 34
9.4%
4 33
9.1%
7 29
8.0%
9 20
 
5.5%
0 20
 
5.5%
8 19
 
5.2%
Space Separator
ValueCountFrequency (%)
327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1058
59.0%
Common 734
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 76
 
7.2%
길 63
 
6.0%
군 56
 
5.3%
시 54
 
5.1%
동 32
 
3.0%
리 27
 
2.6%
로 27
 
2.6%
천 24
 
2.3%
산 24
 
2.3%
읍 21
 
2.0%
Other values (158) 654
61.8%
Common
ValueCountFrequency (%)
327
44.6%
1 71
 
9.7%
2 57
 
7.8%
3 45
 
6.1%
- 41
 
5.6%
6 35
 
4.8%
5 34
 
4.6%
4 33
 
4.5%
7 29
 
4.0%
9 20
 
2.7%
Other values (5) 42
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1058
59.0%
ASCII 734
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
44.6%
1 71
 
9.7%
2 57
 
7.8%
3 45
 
6.1%
- 41
 
5.6%
6 35
 
4.8%
5 34
 
4.6%
4 33
 
4.5%
7 29
 
4.0%
9 20
 
2.7%
Other values (5) 42
 
5.7%
Hangul
ValueCountFrequency (%)
면 76
 
7.2%
길 63
 
6.0%
군 56
 
5.3%
시 54
 
5.1%
동 32
 
3.0%
리 27
 
2.6%
로 27
 
2.6%
천 24
 
2.3%
산 24
 
2.3%
읍 21
 
2.0%
Other values (158) 654
61.8%

승격일자
Date

Distinct56
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size1000.0 B
Minimum2013-04-08 00:00:00
Maximum2023-12-26 00:00:00
2024-03-15T08:30:05.916055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:06.218614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2024-03-15T08:30:06.392743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별지정번호수량소유자승격일자
종별1.0000.0000.9250.9500.989
지정번호0.0001.0000.9830.9950.967
수량0.9250.9831.0000.0000.994
소유자0.9500.9950.0001.0000.981
승격일자0.9890.9670.9940.9811.000
2024-03-15T08:30:06.559288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별수량
종별1.0000.584
수량0.5841.000
2024-03-15T08:30:06.696786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별수량
종별1.0000.584
수량0.5841.000

Missing values

2024-03-15T08:29:52.245150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:29:52.713263image/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

종별지정번호문화재명수량소유자소재지승격일자
0국가민속문화재279호봉화 만산고택4동강백기봉화군 춘양면 서동길21-192013-12-12
1유형문화재461호포항 보경사 대웅전1동보경사포항시 북구 송라면 보경로 5232013-04-08
2유형문화재462호포항 우각리 여주이씨 고택1곽 6동이승택포항시 신광면 비학로 696번길152013-04-08
3유형문화재463호김천 김산향교1곽경북향교재단김천시 김산향교1길 2-192013-04-08
4유형문화재464호구미 인동향교 대성전1동경북향교재단구미시 장천면 신장2길 2722013-04-08
5유형문화재465호구미 선산향교1곽 5동경북향교재단구미시 장천면 신장2길 2722013-04-08
6유형문화재466호구미 도리사 극락전1동도리사구미시 수출대로 3332013-04-08
7유형문화재467호상주 함창향교1곽 6동경북향교재단상주시 함창읍 무운로1557-42013-04-08
8유형문화재468호상주 남장사 일주문1동남장사상주시 남장1길 259-222013-04-08
9유형문화재469호경산향교(대성전, 삼문)2동경북향교재단경산시 향교길 14-192013-04-08
종별지정번호문화재명수량소유자소재지승격일자
99보물<NA>포항 상달암1동경주손씨대종회경주시 남구 연일읍새마을로766번길 212022-11-25
100보물<NA>손소 적개공신교서1축손성훈경주시 강동면 양동마을안길 75-6(한국학중앙연구원 보관)2022-12-27
101보물<NA>문경 봉암사 봉황문1동봉암사문경시 가은읍 원북길 3132022-12-28
102명승<NA>영덕 옥계 침수정 일원60,109㎡영덕군영덕군 달산면 옥계리 30 등2022-02-25
103국가민속문화재<NA>상주 수암종택3동류한민상주시 중동면 중동단밀로 156-332022-08-22
104국가민속문화재<NA>영덕 무안박씨 희암재사4동무안박씨무의공파종회영덕군 창수면 수리 4572022-12-20
105유형문화재575호문경 대승사 윤필암 후불도1폭대승사문경시 산북면 대승사길 183-692022-03-21
106유형문화재577호구미 남화사 석조약사여래좌상1건국 유구미시 선기로3길 38-372022-06-02
107유형문화재590호울진 수진사 신중도1폭수진사울진군 평해읍 오곡2길 330-782023-02-23
108보물<NA>안동 선찰사 목조석가여래좌상 및 복장유물불상 1구, 복장물 8점선찰사안동시 길안면 웃장터길 91-172023-12-26