Overview

Dataset statistics

Number of variables8
Number of observations330
Missing cells325
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Categorical2
Text3
DateTime2

Dataset

Description대구시의 문화재 현황에 대한 정보제공(국보, 보물, 사적, 천연기념물, 국가민속문화재, 국가무형문화재, 등록문화재 등 국가지정문화재와 유형문화재, 무형문화재, 기념물, 민속문화재, 문화재자료 등의 시지정문화재)
URLhttps://www.data.go.kr/data/3044297/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
인정일자 has 323 (97.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:32:09.762583
Analysis finished2023-12-12 02:32:10.453239
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct330
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.5
Minimum1
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T11:32:10.513036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.45
Q183.25
median165.5
Q3247.75
95-th percentile313.55
Maximum330
Range329
Interquartile range (IQR)164.5

Descriptive statistics

Standard deviation95.407023
Coefficient of variation (CV)0.57647748
Kurtosis-1.2
Mean165.5
Median Absolute Deviation (MAD)82.5
Skewness0
Sum54615
Variance9102.5
MonotonicityStrictly increasing
2023-12-12T11:32:10.664609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
228 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
Other values (320) 320
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%

구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
유형문화재
97 
보물
86 
문화재자료
65 
기념물
20 
무형문화재
18 
Other values (7)
44 

Length

Max length7
Median length5
Mean length4.0030303
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 97
29.4%
보물 86
26.1%
문화재자료 65
19.7%
기념물 20
 
6.1%
무형문화재 18
 
5.5%
등록문화재 14
 
4.2%
사적 11
 
3.3%
민속문화재 6
 
1.8%
국가민속문화재 5
 
1.5%
국보 4
 
1.2%
Other values (2) 4
 
1.2%

Length

2023-12-12T11:32:10.807523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유형문화재 97
29.4%
보물 86
26.1%
문화재자료 65
19.7%
기념물 20
 
6.1%
무형문화재 18
 
5.5%
등록문화재 14
 
4.2%
사적 11
 
3.3%
민속문화재 6
 
1.8%
국가민속문화재 5
 
1.5%
국보 4
 
1.2%
Other values (2) 4
 
1.2%

명칭
Text

Distinct328
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T11:32:11.002621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length9.9424242
Min length2

Characters and Unicode

Total characters3281
Distinct characters392
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)98.8%

Sample

1st row구미 선산읍 금동여래입상
2nd row구미 선산읍 금동보살입상(1976-1)
3rd row구미 선산읍 금동보살입상(1976-2)
4th row군위 아미타여래삼존석굴
5th row대구 산격동 연화 운룡장식 승탑
ValueCountFrequency (%)
대구 78
 
11.3%
동화사 30
 
4.3%
달성 11
 
1.6%
파계사 11
 
1.6%
군위 9
 
1.3%
및 8
 
1.2%
구 8
 
1.2%
일괄 6
 
0.9%
삼층석탑 5
 
0.7%
軍威 4
 
0.6%
Other values (462) 521
75.4%
2023-12-12T11:32:11.359612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
375
 
11.4%
사 134
 
4.1%
대 122
 
3.7%
구 110
 
3.4%
동 77
 
2.3%
상 62
 
1.9%
석 55
 
1.7%
장 48
 
1.5%
화 48
 
1.5%
성 47
 
1.4%
Other values (382) 2203
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2808
85.6%
Space Separator 375
 
11.4%
Decimal Number 53
 
1.6%
Close Punctuation 14
 
0.4%
Open Punctuation 14
 
0.4%
Math Symbol 10
 
0.3%
Uppercase Letter 4
 
0.1%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 134
 
4.8%
대 122
 
4.3%
구 110
 
3.9%
동 77
 
2.7%
상 62
 
2.2%
석 55
 
2.0%
장 48
 
1.7%
화 48
 
1.7%
성 47
 
1.7%
도 43
 
1.5%
Other values (362) 2062
73.4%
Decimal Number
ValueCountFrequency (%)
1 15
28.3%
7 8
15.1%
2 7
13.2%
9 7
13.2%
3 5
 
9.4%
4 4
 
7.5%
6 3
 
5.7%
0 2
 
3.8%
8 2
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 7
70.0%
∼ 3
30.0%
Space Separator
ValueCountFrequency (%)
375
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2739
83.5%
Common 469
 
14.3%
Han 69
 
2.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 134
 
4.9%
대 122
 
4.5%
구 110
 
4.0%
동 77
 
2.8%
상 62
 
2.3%
석 55
 
2.0%
장 48
 
1.8%
화 48
 
1.8%
성 47
 
1.7%
도 43
 
1.6%
Other values (311) 1993
72.8%
Han
ValueCountFrequency (%)
軍 5
 
7.2%
威 5
 
7.2%
寺 5
 
7.2%
石 2
 
2.9%
角 2
 
2.9%
塔 2
 
2.9%
經 2
 
2.9%
麟 2
 
2.9%
大 2
 
2.9%
鳳 1
 
1.4%
Other values (41) 41
59.4%
Common
ValueCountFrequency (%)
375
80.0%
1 15
 
3.2%
) 14
 
3.0%
( 14
 
3.0%
7 8
 
1.7%
2 7
 
1.5%
9 7
 
1.5%
~ 7
 
1.5%
3 5
 
1.1%
4 4
 
0.9%
Other values (6) 13
 
2.8%
Latin
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2736
83.4%
ASCII 470
 
14.3%
CJK 69
 
2.1%
Compat Jamo 3
 
0.1%
Math Operators 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
375
79.8%
1 15
 
3.2%
) 14
 
3.0%
( 14
 
3.0%
7 8
 
1.7%
2 7
 
1.5%
9 7
 
1.5%
~ 7
 
1.5%
3 5
 
1.1%
4 4
 
0.9%
Other values (9) 14
 
3.0%
Hangul
ValueCountFrequency (%)
사 134
 
4.9%
대 122
 
4.5%
구 110
 
4.0%
동 77
 
2.8%
상 62
 
2.3%
석 55
 
2.0%
장 48
 
1.8%
화 48
 
1.8%
성 47
 
1.7%
도 43
 
1.6%
Other values (310) 1990
72.7%
CJK
ValueCountFrequency (%)
軍 5
 
7.2%
威 5
 
7.2%
寺 5
 
7.2%
石 2
 
2.9%
角 2
 
2.9%
塔 2
 
2.9%
經 2
 
2.9%
麟 2
 
2.9%
大 2
 
2.9%
鳳 1
 
1.4%
Other values (41) 41
59.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%

상세내용
Text

Distinct152
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T11:32:11.600433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length2
Mean length3.8757576
Min length2

Characters and Unicode

Total characters1279
Distinct characters113
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)41.2%

Sample

1st row1구
2nd row1구
3rd row1구
4th row1구
5th row1기
ValueCountFrequency (%)
1동 58
 
16.2%
1구 29
 
8.1%
1기 29
 
8.1%
1폭 25
 
7.0%
1책 20
 
5.6%
1점 9
 
2.5%
1첩 5
 
1.4%
4권1책 4
 
1.1%
3권1책 4
 
1.1%
불상3점 3
 
0.8%
Other values (159) 171
47.9%
2023-12-12T11:32:12.019181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 289
22.6%
동 77
 
6.0%
3 56
 
4.4%
2 52
 
4.1%
㎡ 51
 
4.0%
책 47
 
3.7%
구 43
 
3.4%
기 41
 
3.2%
4 39
 
3.0%
6 33
 
2.6%
Other values (103) 551
43.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 620
48.5%
Other Letter 494
38.6%
Other Symbol 51
 
4.0%
Space Separator 33
 
2.6%
Close Punctuation 32
 
2.5%
Open Punctuation 32
 
2.5%
Other Punctuation 16
 
1.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
15.6%
책 47
 
9.5%
구 43
 
8.7%
기 41
 
8.3%
폭 31
 
6.3%
점 31
 
6.3%
권 22
 
4.5%
종 13
 
2.6%
장 9
 
1.8%
역 8
 
1.6%
Other values (86) 172
34.8%
Decimal Number
ValueCountFrequency (%)
1 289
46.6%
3 56
 
9.0%
2 52
 
8.4%
4 39
 
6.3%
6 33
 
5.3%
0 33
 
5.3%
5 32
 
5.2%
9 31
 
5.0%
7 28
 
4.5%
8 27
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 15
93.8%
/ 1
 
6.2%
Other Symbol
ValueCountFrequency (%)
㎡ 51
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 784
61.3%
Hangul 493
38.5%
Latin 1
 
0.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
15.6%
책 47
 
9.5%
구 43
 
8.7%
기 41
 
8.3%
폭 31
 
6.3%
점 31
 
6.3%
권 22
 
4.5%
종 13
 
2.6%
장 9
 
1.8%
역 8
 
1.6%
Other values (85) 171
34.7%
Common
ValueCountFrequency (%)
1 289
36.9%
3 56
 
7.1%
2 52
 
6.6%
㎡ 51
 
6.5%
4 39
 
5.0%
6 33
 
4.2%
0 33
 
4.2%
33
 
4.2%
) 32
 
4.1%
5 32
 
4.1%
Other values (6) 134
17.1%
Latin
ValueCountFrequency (%)
m 1
100.0%
Han
ValueCountFrequency (%)
故 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 734
57.4%
Hangul 493
38.5%
CJK Compat 51
 
4.0%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 289
39.4%
3 56
 
7.6%
2 52
 
7.1%
4 39
 
5.3%
6 33
 
4.5%
0 33
 
4.5%
33
 
4.5%
) 32
 
4.4%
5 32
 
4.4%
( 32
 
4.4%
Other values (6) 103
 
14.0%
Hangul
ValueCountFrequency (%)
동 77
15.6%
책 47
 
9.5%
구 43
 
8.7%
기 41
 
8.3%
폭 31
 
6.3%
점 31
 
6.3%
권 22
 
4.5%
종 13
 
2.6%
장 9
 
1.8%
역 8
 
1.6%
Other values (85) 171
34.7%
CJK Compat
ValueCountFrequency (%)
㎡ 51
100.0%
CJK
ValueCountFrequency (%)
故 1
100.0%

구군
Categorical

Distinct11
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
동구
98 
달성군
53 
달서구
40 
중구
37 
군위군
35 
Other values (6)
67 

Length

Max length4
Median length2
Mean length2.4939394
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row수성구
2nd row수성구
3rd row수성구
4th row군위군
5th row북구

Common Values

ValueCountFrequency (%)
동구 98
29.7%
달성군 53
16.1%
달서구 40
12.1%
중구 37
 
11.2%
군위군 35
 
10.6%
수성구 32
 
9.7%
북구 15
 
4.5%
남구 15
 
4.5%
서구 3
 
0.9%
달서구 1
 
0.3%

Length

2023-12-12T11:32:12.177392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동구 99
30.0%
달성군 53
16.1%
달서구 41
12.4%
중구 37
 
11.2%
군위군 35
 
10.6%
수성구 32
 
9.7%
북구 15
 
4.5%
남구 15
 
4.5%
서구 3
 
0.9%

소재지
Text

Distinct125
Distinct (%)38.0%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2023-12-12T11:32:12.379807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length13.635258
Min length8

Characters and Unicode

Total characters4486
Distinct characters141
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

Unique78 ?
Unique (%)23.7%

Sample

1st row대구광역시 수성구 국립대구박물관
2nd row대구광역시 수성구 국립대구박물관
3rd row대구광역시 수성구 국립대구박물관
4th row대구광역시 군위군 부계면
5th row대구광역시 북구 경북대학교
ValueCountFrequency (%)
대구광역시 327
32.1%
동구 98
 
9.6%
달성군 52
 
5.1%
달서구 40
 
3.9%
중구 37
 
3.6%
동화사 34
 
3.3%
수성구 34
 
3.3%
군위군 33
 
3.2%
계명대학교 32
 
3.1%
남구 15
 
1.5%
Other values (131) 318
31.2%
2023-12-12T11:32:12.695116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
692
15.4%
구 598
13.3%
대 394
 
8.8%
광 329
 
7.3%
역 328
 
7.3%
시 328
 
7.3%
동 183
 
4.1%
군 124
 
2.8%
로 113
 
2.5%
달 105
 
2.3%
Other values (131) 1292
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3755
83.7%
Space Separator 692
 
15.4%
Decimal Number 39
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 598
15.9%
대 394
 
10.5%
광 329
 
8.8%
역 328
 
8.7%
시 328
 
8.7%
동 183
 
4.9%
군 124
 
3.3%
로 113
 
3.0%
달 105
 
2.8%
성 103
 
2.7%
Other values (121) 1150
30.6%
Decimal Number
ValueCountFrequency (%)
1 9
23.1%
2 8
20.5%
3 6
15.4%
4 4
10.3%
8 3
 
7.7%
5 3
 
7.7%
6 2
 
5.1%
0 2
 
5.1%
7 2
 
5.1%
Space Separator
ValueCountFrequency (%)
692
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3755
83.7%
Common 731
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 598
15.9%
대 394
 
10.5%
광 329
 
8.8%
역 328
 
8.7%
시 328
 
8.7%
동 183
 
4.9%
군 124
 
3.3%
로 113
 
3.0%
달 105
 
2.8%
성 103
 
2.7%
Other values (121) 1150
30.6%
Common
ValueCountFrequency (%)
692
94.7%
1 9
 
1.2%
2 8
 
1.1%
3 6
 
0.8%
4 4
 
0.5%
8 3
 
0.4%
5 3
 
0.4%
6 2
 
0.3%
0 2
 
0.3%
7 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3755
83.7%
ASCII 731
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
692
94.7%
1 9
 
1.2%
2 8
 
1.1%
3 6
 
0.8%
4 4
 
0.5%
8 3
 
0.4%
5 3
 
0.4%
6 2
 
0.3%
0 2
 
0.3%
7 2
 
0.3%
Hangul
ValueCountFrequency (%)
구 598
15.9%
대 394
 
10.5%
광 329
 
8.8%
역 328
 
8.7%
시 328
 
8.7%
동 183
 
4.9%
군 124
 
3.3%
로 113
 
3.0%
달 105
 
2.8%
성 103
 
2.7%
Other values (121) 1150
30.6%

지정일자
Date

Distinct127
Distinct (%)38.6%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
Minimum1962-12-03 00:00:00
Maximum2023-06-27 00:00:00
2023-12-12T11:32:12.847282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:32:13.261050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인정일자
Date

MISSING 

Distinct5
Distinct (%)71.4%
Missing323
Missing (%)97.9%
Memory size2.7 KiB
Minimum1995-05-12 00:00:00
Maximum2020-02-10 00:00:00
2023-12-12T11:32:13.372835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:32:13.484723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

Interactions

2023-12-12T11:32:10.140216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:32:13.589556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분구군인정일자
연번1.0000.8810.540NaN
구분0.8811.0000.464NaN
구군0.5400.4641.0000.719
인정일자NaNNaN0.7191.000
2023-12-12T11:32:13.718604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군구분
구군1.0000.206
구분0.2061.000
2023-12-12T11:32:13.818548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분구군
연번1.0000.6320.264
구분0.6321.0000.206
구군0.2640.2061.000

Missing values

2023-12-12T11:32:10.230458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:32:10.327181image/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.
2023-12-12T11:32:10.409050image/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

연번구분명칭상세내용구군소재지지정일자인정일자
01국보구미 선산읍 금동여래입상1구수성구대구광역시 수성구 국립대구박물관1976-04-23<NA>
12국보구미 선산읍 금동보살입상(1976-1)1구수성구대구광역시 수성구 국립대구박물관1976-04-23<NA>
23국보구미 선산읍 금동보살입상(1976-2)1구수성구대구광역시 수성구 국립대구박물관1976-04-23<NA>
34국보군위 아미타여래삼존석굴1구군위군대구광역시 군위군 부계면1962-12-20<NA>
45보물대구 산격동 연화 운룡장식 승탑1기북구대구광역시 북구 경북대학교1963-01-21<NA>
56보물의성 관덕동 석사자2구수성구대구광역시 수성구 국립대구박물관1963-01-21<NA>
67보물대구 동화사 마애여래좌상1구동구대구광역시 동구 동화사1963-01-21<NA>
78보물대구 동화사 비로암 석조비로자나불좌상1구동구대구광역시 동구 동화사1963-01-21<NA>
89보물대구 동화사 비로암 삼층석탑1기동구대구광역시 동구 동화사1963-01-21<NA>
910보물대구 동화사 금당암 동ㆍ서 삼층석탑2기동구대구광역시 동구 동화사1963-01-21<NA>
연번구분명칭상세내용구군소재지지정일자인정일자
320321문화재자료남양홍씨세보1책군위군대구광역시 군위군 군위읍1989-05-29<NA>
321322문화재자료광석재1동(3173㎡)군위군대구광역시 군위군 소보면1989-05-29<NA>
322323문화재자료칠탄숙강당1동(1301㎡)군위군대구광역시 군위군 군위읍1989-05-29<NA>
323324문화재자료양암정1동(466㎡)군위군대구광역시 군위군 소보면1989-05-29<NA>
324325문화재자료압곡사선사영정9폭군위군대구광역시 군위군 고로면1991-03-25<NA>
325326문화재자료군위삼존석굴모전석탑1기군위군대구광역시 군위군 부계면1991-05-14<NA>
326327문화재자료군위인각사미륵당석불좌상1구군위군대구광역시 군위군 고로면2002-08-19<NA>
327328문화재자료군위인각사삼층석탑1기군위군대구광역시 군위군 고로면2002-08-19<NA>
328329문화재자료군위오도암금동불입상1구군위군대구광역시 군위군 부계면2006-06-29<NA>
329330문화재자료법주사 보광명전1동군위군대구광역시 군위군 달산3길2008-03-24<NA>