Overview

Dataset statistics

Number of variables11
Number of observations43
Missing cells3
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory91.1 B

Variable types

Categorical7
Text4

Dataset

Description대구광역시 달서구_지정문화재 정보_20240314
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15127212&dataSetDetailId=151272121cb1a311432b0&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
지정별 is highly overall correlated with 구분 and 3 other fieldsHigh correlation
분류 is highly overall correlated with 구분 and 3 other fieldsHigh correlation
소재지 is highly overall correlated with 구분 and 3 other fieldsHigh correlation
구분 is highly overall correlated with 소재지 and 3 other fieldsHigh correlation
시대 is highly overall correlated with 구분 and 3 other fieldsHigh correlation
분류 is highly imbalanced (54.4%)Imbalance
수량 및 면적 has 3 (7.0%) missing valuesMissing
명칭 has unique valuesUnique

Reproduction

Analysis started2024-03-30 09:15:49.359330
Analysis finished2024-03-30 09:15:51.395110
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
보물
27 
유형문화재
9 
향토
3 
무형문화재
 
2
사적
 
1

Length

Max length5
Median length2
Mean length2.8372093
Min length2

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
보물 27
62.8%
유형문화재 9
 
20.9%
향토 3
 
7.0%
무형문화재 2
 
4.7%
사적 1
 
2.3%
민속문화재 1
 
2.3%

Length

2024-03-30T09:15:51.662462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:15:52.048266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보물 27
62.8%
유형문화재 9
 
20.9%
향토 3
 
7.0%
무형문화재 2
 
4.7%
사적 1
 
2.3%
민속문화재 1
 
2.3%

지정번호
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-30T09:15:52.622733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.6511628
Min length1

Characters and Unicode

Total characters157
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row710-(6)
2nd row772-(4)
3rd row875-(5)
4th row1051-(2)
5th row1320
ValueCountFrequency (%)
2 2
 
4.7%
70 1
 
2.3%
1 1
 
2.3%
79 1
 
2.3%
1892 1
 
2.3%
1893 1
 
2.3%
1894 1
 
2.3%
2030 1
 
2.3%
411 1
 
2.3%
55 1
 
2.3%
Other values (32) 32
74.4%
2024-03-30T09:15:53.879161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 32
20.4%
0 17
10.8%
7 16
10.2%
2 12
 
7.6%
6 12
 
7.6%
3 12
 
7.6%
4 11
 
7.0%
8 11
 
7.0%
5 10
 
6.4%
- 6
 
3.8%
Other values (3) 18
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 139
88.5%
Dash Punctuation 6
 
3.8%
Open Punctuation 6
 
3.8%
Close Punctuation 6
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
23.0%
0 17
12.2%
7 16
11.5%
2 12
 
8.6%
6 12
 
8.6%
3 12
 
8.6%
4 11
 
7.9%
8 11
 
7.9%
5 10
 
7.2%
9 6
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 157
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 32
20.4%
0 17
10.8%
7 16
10.2%
2 12
 
7.6%
6 12
 
7.6%
3 12
 
7.6%
4 11
 
7.0%
8 11
 
7.0%
5 10
 
6.4%
- 6
 
3.8%
Other values (3) 18
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 32
20.4%
0 17
10.8%
7 16
10.2%
2 12
 
7.6%
6 12
 
7.6%
3 12
 
7.6%
4 11
 
7.0%
8 11
 
7.0%
5 10
 
6.4%
- 6
 
3.8%
Other values (3) 18
11.5%

명칭
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-30T09:15:54.562910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length9.8604651
Min length3

Characters and Unicode

Total characters424
Distinct characters158
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row동인지문사육 권 7~9
2nd row금강경삼가해 권 2
3rd row상교정본자비도량참법 권 4~7
4th row분류두공부시(언해) 권 11~12
5th row예념미타도장참법 권 7
ValueCountFrequency (%)
권 11
 
11.6%
대구 5
 
5.3%
목조석가여래삼존좌상 3
 
3.2%
보성선원 3
 
3.2%
초조본 2
 
2.1%
진천동 2
 
2.1%
및 2
 
2.1%
복장 1
 
1.1%
유물 1
 
1.1%
북정록 1
 
1.1%
Other values (64) 64
67.4%
2024-03-30T09:15:55.675671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
12.3%
권 11
 
2.6%
대 11
 
2.6%
선 10
 
2.4%
1 8
 
1.9%
상 8
 
1.9%
집 8
 
1.9%
석 7
 
1.7%
조 7
 
1.7%
장 7
 
1.7%
Other values (148) 295
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
78.3%
Space Separator 52
 
12.3%
Decimal Number 25
 
5.9%
Math Symbol 7
 
1.7%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%
Other Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
권 11
 
3.3%
대 11
 
3.3%
선 10
 
3.0%
상 8
 
2.4%
집 8
 
2.4%
석 7
 
2.1%
조 7
 
2.1%
장 7
 
2.1%
삼 7
 
2.1%
구 6
 
1.8%
Other values (133) 250
75.3%
Decimal Number
ValueCountFrequency (%)
1 8
32.0%
7 4
16.0%
3 3
 
12.0%
9 3
 
12.0%
8 2
 
8.0%
2 2
 
8.0%
6 1
 
4.0%
4 1
 
4.0%
0 1
 
4.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
78.3%
Common 92
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
권 11
 
3.3%
대 11
 
3.3%
선 10
 
3.0%
상 8
 
2.4%
집 8
 
2.4%
석 7
 
2.1%
조 7
 
2.1%
장 7
 
2.1%
삼 7
 
2.1%
구 6
 
1.8%
Other values (133) 250
75.3%
Common
ValueCountFrequency (%)
52
56.5%
1 8
 
8.7%
~ 7
 
7.6%
7 4
 
4.3%
3 3
 
3.3%
( 3
 
3.3%
9 3
 
3.3%
) 3
 
3.3%
8 2
 
2.2%
2 2
 
2.2%
Other values (5) 5
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
78.3%
ASCII 92
 
21.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
56.5%
1 8
 
8.7%
~ 7
 
7.6%
7 4
 
4.3%
3 3
 
3.3%
( 3
 
3.3%
9 3
 
3.3%
) 3
 
3.3%
8 2
 
2.2%
2 2
 
2.2%
Other values (5) 5
 
5.4%
Hangul
ValueCountFrequency (%)
권 11
 
3.3%
대 11
 
3.3%
선 10
 
3.0%
상 8
 
2.4%
집 8
 
2.4%
석 7
 
2.1%
조 7
 
2.1%
장 7
 
2.1%
삼 7
 
2.1%
구 6
 
1.8%
Other values (133) 250
75.3%

소재지
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size476.0 B
대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관
30 
대구광역시 달서구 송현로 8안길 35, 보성선원 (국립박물관 위탁)
 
2
대구광역시 달서구 달구벌대로1095, 계명대학교 동산도서관
 
1
대구광역시 달서구 송현로 7길 38, 월곡역사박물관 (국립박물관 위탁)
 
1
대구광역시 달서구 달구벌대로 1095, 계명대학교 행소박물관
 
1
Other values (8)
8 

Length

Max length39
Median length33
Mean length31.162791
Min length12

Unique

Unique11 ?
Unique (%)25.6%

Sample

1st row대구광역시 달서구 달구벌대로1095, 계명대학교 동산도서관
2nd row대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관
3rd row대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관
4th row대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관
5th row대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관

Common Values

ValueCountFrequency (%)
대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관 30
69.8%
대구광역시 달서구 송현로 8안길 35, 보성선원 (국립박물관 위탁) 2
 
4.7%
대구광역시 달서구 달구벌대로1095, 계명대학교 동산도서관 1
 
2.3%
대구광역시 달서구 송현로 7길 38, 월곡역사박물관 (국립박물관 위탁) 1
 
2.3%
대구광역시 달서구 달구벌대로 1095, 계명대학교 행소박물관 1
 
2.3%
대구광역시 달서구 송현로8안길 35, (재)선학원 보성선원 외 1
 
2.3%
대구광역시 달서구 진천동 470-38 1
 
2.3%
대구광역시 달서구 송현2동 1
 
2.3%
대구광역시 달서구 본동 1
 
2.3%
대구광역시 달서구 달서대로675, 계명문화대학 내 1
 
2.3%
Other values (3) 3
 
7.0%

Length

2024-03-30T09:15:56.199081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 43
17.2%
달서구 43
17.2%
달구벌대로 32
12.8%
계명대학교 32
12.8%
1095 31
12.4%
동산도서관 31
12.4%
보성선원 3
 
1.2%
국립박물관 3
 
1.2%
위탁 3
 
1.2%
35 3
 
1.2%
Other values (21) 26
10.4%

지정별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
국가지정
27 
시지정
12 
향토
3 
사적
 
1

Length

Max length4
Median length4
Mean length3.5348837
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
국가지정 27
62.8%
시지정 12
27.9%
향토 3
 
7.0%
사적 1
 
2.3%

Length

2024-03-30T09:15:56.631525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:15:57.062726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가지정 27
62.8%
시지정 12
27.9%
향토 3
 
7.0%
사적 1
 
2.3%

지정일
Text

Distinct24
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-30T09:15:57.609057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length10.27907
Min length10

Characters and Unicode

Total characters442
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)37.2%

Sample

1st row2001-08-03
2nd row2001-08-03
3rd row2022-10-26
4th row2001-08-03
5th row2001-08-03
ValueCountFrequency (%)
2011-02-25 6
14.0%
2001-08-03 5
 
11.6%
2019-01-30 4
 
9.3%
2006-04-28 4
 
9.3%
2017-01-31 2
 
4.7%
2013-04-29 2
 
4.7%
2024-01-02 2
 
4.7%
2002-01-02 2
 
4.7%
2013-10-30 1
 
2.3%
2010-01-04 1
 
2.3%
Other values (14) 14
32.6%
2024-03-30T09:15:58.685960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 118
26.7%
- 88
19.9%
2 87
19.7%
1 63
14.3%
3 20
 
4.5%
9 15
 
3.4%
8 13
 
2.9%
6 13
 
2.9%
4 11
 
2.5%
5 9
 
2.0%
Other values (3) 5
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
79.6%
Dash Punctuation 88
 
19.9%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 118
33.5%
2 87
24.7%
1 63
17.9%
3 20
 
5.7%
9 15
 
4.3%
8 13
 
3.7%
6 13
 
3.7%
4 11
 
3.1%
5 9
 
2.6%
7 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 118
26.7%
- 88
19.9%
2 87
19.7%
1 63
14.3%
3 20
 
4.5%
9 15
 
3.4%
8 13
 
2.9%
6 13
 
2.9%
4 11
 
2.5%
5 9
 
2.0%
Other values (3) 5
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 118
26.7%
- 88
19.9%
2 87
19.7%
1 63
14.3%
3 20
 
4.5%
9 15
 
3.4%
8 13
 
2.9%
6 13
 
2.9%
4 11
 
2.5%
5 9
 
2.0%
Other values (3) 5
 
1.1%

수량 및 면적
Text

MISSING 

Distinct23
Distinct (%)57.5%
Missing3
Missing (%)7.0%
Memory size476.0 B
2024-03-30T09:15:59.185608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length4.375
Min length2

Characters and Unicode

Total characters175
Distinct characters33
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)40.0%

Sample

1st row1책
2nd row1책
3rd row1책
4th row1책
5th row1책
ValueCountFrequency (%)
1책 19
31.7%
3권 3
 
5.0%
1명 2
 
3.3%
2권 2
 
3.3%
1권 2
 
3.3%
1축 2
 
3.3%
1책(잔존본 2
 
3.3%
6책 2
 
3.3%
3책 2
 
3.3%
4권 2
 
3.3%
Other values (22) 22
36.7%
2024-03-30T09:16:00.349767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 37
21.1%
책 27
15.4%
20
11.4%
권 13
 
7.4%
4 10
 
5.7%
3 8
 
4.6%
5 6
 
3.4%
점 6
 
3.4%
2 5
 
2.9%
6 4
 
2.3%
Other values (23) 39
22.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76
43.4%
Other Letter 71
40.6%
Space Separator 20
 
11.4%
Other Punctuation 3
 
1.7%
Open Punctuation 2
 
1.1%
Close Punctuation 2
 
1.1%
Other Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
책 27
38.0%
권 13
18.3%
점 6
 
8.5%
종 3
 
4.2%
건 2
 
2.8%
첩 2
 
2.8%
축 2
 
2.8%
명 2
 
2.8%
본 2
 
2.8%
존 2
 
2.8%
Other values (9) 10
 
14.1%
Decimal Number
ValueCountFrequency (%)
1 37
48.7%
4 10
 
13.2%
3 8
 
10.5%
5 6
 
7.9%
2 5
 
6.6%
6 4
 
5.3%
0 3
 
3.9%
9 2
 
2.6%
8 1
 
1.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
59.4%
Hangul 71
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
책 27
38.0%
권 13
18.3%
점 6
 
8.5%
종 3
 
4.2%
건 2
 
2.8%
첩 2
 
2.8%
축 2
 
2.8%
명 2
 
2.8%
본 2
 
2.8%
존 2
 
2.8%
Other values (9) 10
 
14.1%
Common
ValueCountFrequency (%)
1 37
35.6%
20
19.2%
4 10
 
9.6%
3 8
 
7.7%
5 6
 
5.8%
2 5
 
4.8%
6 4
 
3.8%
0 3
 
2.9%
, 3
 
2.9%
9 2
 
1.9%
Other values (4) 6
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103
58.9%
Hangul 71
40.6%
CJK Compat 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 37
35.9%
20
19.4%
4 10
 
9.7%
3 8
 
7.8%
5 6
 
5.8%
2 5
 
4.9%
6 4
 
3.9%
0 3
 
2.9%
, 3
 
2.9%
9 2
 
1.9%
Other values (3) 5
 
4.9%
Hangul
ValueCountFrequency (%)
책 27
38.0%
권 13
18.3%
점 6
 
8.5%
종 3
 
4.2%
건 2
 
2.8%
첩 2
 
2.8%
축 2
 
2.8%
명 2
 
2.8%
본 2
 
2.8%
존 2
 
2.8%
Other values (9) 10
 
14.1%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

시대
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
조선
33 
고려
5 
청동기
 
2
현대
 
2
일제강점기
 
1

Length

Max length5
Median length2
Mean length2.1162791
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row고려
2nd row조선
3rd row조선
4th row조선
5th row조선

Common Values

ValueCountFrequency (%)
조선 33
76.7%
고려 5
 
11.6%
청동기 2
 
4.7%
현대 2
 
4.7%
일제강점기 1
 
2.3%

Length

2024-03-30T09:16:00.995625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:16:01.560505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조선 33
76.7%
고려 5
 
11.6%
청동기 2
 
4.7%
현대 2
 
4.7%
일제강점기 1
 
2.3%

분류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
전적
33 
기념물
4 
서지
 
1
화첩
 
1
불상, 복장유물 등
 
1
Other values (3)
 
3

Length

Max length10
Median length2
Mean length2.3488372
Min length2

Unique

Unique6 ?
Unique (%)14.0%

Sample

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

Common Values

ValueCountFrequency (%)
전적 33
76.7%
기념물 4
 
9.3%
서지 1
 
2.3%
화첩 1
 
2.3%
불상, 복장유물 등 1
 
2.3%
시조창 1
 
2.3%
모필 1
 
2.3%
민속자료 1
 
2.3%

Length

2024-03-30T09:16:02.132787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:16:02.614079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전적 33
73.3%
기념물 4
 
8.9%
서지 1
 
2.2%
화첩 1
 
2.2%
불상 1
 
2.2%
복장유물 1
 
2.2%
등 1
 
2.2%
시조창 1
 
2.2%
모필 1
 
2.2%
민속자료 1
 
2.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
대구광역시 달서구청
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구청
2nd row대구광역시 달서구청
3rd row대구광역시 달서구청
4th row대구광역시 달서구청
5th row대구광역시 달서구청

Common Values

ValueCountFrequency (%)
대구광역시 달서구청 43
100.0%

Length

2024-03-30T09:16:03.172809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:16:03.859586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 43
50.0%
달서구청 43
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-14
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-14
2nd row2024-03-14
3rd row2024-03-14
4th row2024-03-14
5th row2024-03-14

Common Values

ValueCountFrequency (%)
2024-03-14 43
100.0%

Length

2024-03-30T09:16:04.158881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:16:04.570327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-14 43
100.0%

Correlations

2024-03-30T09:16:04.836281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지정번호명칭소재지지정별지정일수량 및 면적시대분류
구분1.0000.0001.0000.9541.0001.0000.9660.7850.874
지정번호0.0001.0001.0000.0000.0000.9461.0000.0000.000
명칭1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.9540.0001.0001.0000.9130.9360.9380.9371.000
지정별1.0000.0001.0000.9131.0001.0000.9170.6390.859
지정일1.0000.9461.0000.9361.0001.0000.9200.7670.987
수량 및 면적0.9661.0001.0000.9380.9170.9201.0000.9520.964
시대0.7850.0001.0000.9370.6390.7670.9521.0000.737
분류0.8740.0001.0001.0000.8590.9870.9640.7371.000
2024-03-30T09:16:05.417305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정별시대분류소재지구분
지정별1.0000.5590.5060.7030.974
시대0.5591.0000.5470.7540.658
분류0.5060.5471.0000.9260.706
소재지0.7030.7540.9261.0000.772
구분0.9740.6580.7060.7721.000
2024-03-30T09:16:05.941446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분소재지지정별시대분류
구분1.0000.7720.9740.6580.706
소재지0.7721.0000.7030.7540.926
지정별0.9740.7031.0000.5590.506
시대0.6580.7540.5591.0000.547
분류0.7060.9260.5060.5471.000

Missing values

2024-03-30T09:15:50.492985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T09:15:51.213947image/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

구분지정번호명칭소재지지정별지정일수량 및 면적시대분류관리기관명데이터기준일자
0보물710-(6)동인지문사육 권 7~9대구광역시 달서구 달구벌대로1095, 계명대학교 동산도서관국가지정2001-08-031책고려전적대구광역시 달서구청2024-03-14
1보물772-(4)금강경삼가해 권 2대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2001-08-031책조선전적대구광역시 달서구청2024-03-14
2보물875-(5)상교정본자비도량참법 권 4~7대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2022-10-261책조선전적대구광역시 달서구청2024-03-14
3보물1051-(2)분류두공부시(언해) 권 11~12대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2001-08-031책조선전적대구광역시 달서구청2024-03-14
4보물1320예념미타도장참법 권 7대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2001-08-031책조선전적대구광역시 달서구청2024-03-14
5보물1321무예제보번역속집대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2001-08-031책조선전적대구광역시 달서구청2024-03-14
6보물1334화원 우배선 의병진 군공책 및 관련자료대구광역시 달서구 송현로 7길 38, 월곡역사박물관 (국립박물관 위탁)국가지정2002-01-024종, 15점조선서지대구광역시 달서구청2024-03-14
7보물1335대장일람집대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2002-01-021책고려전적대구광역시 달서구청2024-03-14
8보물1369번역명의집대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2003-02-0314권 8책조선전적대구광역시 달서구청2024-03-14
9보물1463-(1)용비어천가 권 8~10대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관국가지정2006-04-283권 3책조선전적대구광역시 달서구청2024-03-14
구분지정번호명칭소재지지정별지정일수량 및 면적시대분류관리기관명데이터기준일자
33유형문화재84삼경합부대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관시지정2019-01-301책조선전적대구광역시 달서구청2024-03-14
34유형문화재85천사일로일기대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관시지정2019-01-301책(잔존본)조선전적대구광역시 달서구청2024-03-14
35유형문화재86사조선록 상대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관시지정2019-01-301책(잔존본)조선전적대구광역시 달서구청2024-03-14
36유형문화재87소수서원 관련 고문서대구광역시 달서구 달구벌대로 1095, 계명대학교 동산도서관시지정2019-01-303종 6책조선전적대구광역시 달서구청2024-03-14
37무형문화재6영제시조(박선애)대구광역시 달서구 송현2동시지정1990-05-15(1997-09-18)1명현대시조창대구광역시 달서구청2024-03-14
38무형문화재15모필장(이인훈)대구광역시 달서구 본동시지정2004-06-101명현대모필대구광역시 달서구청2024-03-14
39민속문화재2신당동 석장승대구광역시 달서구 달서대로675, 계명문화대학 내시지정1986-12-051기조선민속자료대구광역시 달서구청2024-03-14
40향토1이락서당지대구광역시 달서구 달구벌대로 965향토2021-12-01<NA>조선기념물대구광역시 달서구청2024-03-14
41향토2윤상태 별서 송석헌대구광역시 달서구 앞산순환로 12-60향토2024-01-02<NA>일제강점기기념물대구광역시 달서구청2024-03-14
42향토3대구 진천동 지석묘군대구광역시 달서구 진천동 713-13 외향토2024-01-02<NA>청동기기념물대구광역시 달서구청2024-03-14