Overview

Dataset statistics

Number of variables10
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory86.3 B

Variable types

Categorical4
Text3
Numeric2
DateTime1

Dataset

Description대구광역시 달서구의 공공미술 작품유형, 작품분류, 작품명, 규격, 재료, 설치일자, 작품주소, 좌표, 관리기관 등의 현황을 제공함.
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15112472/fileData.do

Alerts

작품분류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
작품유형 is highly overall correlated with 관리기관High correlation
관리기관 is highly overall correlated with 작품유형High correlation

Reproduction

Analysis started2024-03-14 17:40:33.124893
Analysis finished2024-03-14 17:40:35.587329
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작품유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
동상
16 
기타
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동상
2nd row동상
3rd row동상
4th row동상
5th row기타

Common Values

ValueCountFrequency (%)
동상 16
53.3%
기타 14
46.7%

Length

2024-03-15T02:40:35.800479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:40:36.116596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동상 16
53.3%
기타 14
46.7%

작품분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
조각
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조각 30
100.0%

Length

2024-03-15T02:40:36.463812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:40:36.768684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조각 30
100.0%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T02:40:37.579514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length14.466667
Min length3

Characters and Unicode

Total characters434
Distinct characters136
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

Unique27 ?
Unique (%)90.0%

Sample

1st row공룡어린이공원 공룡 조형물
2nd row작곡가 박태준 흉상
3rd row대림어린이공원 동물 조형물
4th row오복공원 도형조형물
5th row푸른꿈
ValueCountFrequency (%)
조형물 10
 
12.0%
선사시대로 4
 
4.8%
추억의 3
 
3.6%
캐릭터 3
 
3.6%
우체통(깨친멋 3
 
3.6%
동물조형물 3
 
3.6%
월광수변공원 2
 
2.4%
포토존 2
 
2.4%
1
 
1.2%
달서별빛캠프 1
 
1.2%
Other values (51) 51
61.4%
2024-03-15T02:40:38.994486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
12.2%
24
 
5.5%
20
 
4.6%
19
 
4.4%
15
 
3.5%
15
 
3.5%
9
 
2.1%
8
 
1.8%
7
 
1.6%
7
 
1.6%
Other values (126) 257
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
84.3%
Space Separator 53
 
12.2%
Close Punctuation 7
 
1.6%
Open Punctuation 7
 
1.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
6.6%
20
 
5.5%
19
 
5.2%
15
 
4.1%
15
 
4.1%
9
 
2.5%
8
 
2.2%
7
 
1.9%
7
 
1.9%
7
 
1.9%
Other values (122) 235
64.2%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
84.3%
Common 68
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
6.6%
20
 
5.5%
19
 
5.2%
15
 
4.1%
15
 
4.1%
9
 
2.5%
8
 
2.2%
7
 
1.9%
7
 
1.9%
7
 
1.9%
Other values (122) 235
64.2%
Common
ValueCountFrequency (%)
53
77.9%
) 7
 
10.3%
( 7
 
10.3%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
84.3%
ASCII 68
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
77.9%
) 7
 
10.3%
( 7
 
10.3%
2 1
 
1.5%
Hangul
ValueCountFrequency (%)
24
 
6.6%
20
 
5.5%
19
 
5.2%
15
 
4.1%
15
 
4.1%
9
 
2.5%
8
 
2.2%
7
 
1.9%
7
 
1.9%
7
 
1.9%
Other values (122) 235
64.2%

재질
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
철재
19 
석재
철재,석재
브론즈
 
1
철재
 
1

Length

Max length10
Median length2
Mean length2.5333333
Min length2

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
철재 19
63.3%
석재 6
 
20.0%
철재,석재 2
 
6.7%
브론즈 1
 
3.3%
철재 1
 
3.3%
브론즈, 우레탄도장 1
 
3.3%

Length

2024-03-15T02:40:39.359753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:40:39.717269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철재 20
64.5%
석재 6
 
19.4%
철재,석재 2
 
6.5%
브론즈 2
 
6.5%
우레탄도장 1
 
3.2%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T02:40:40.471777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters300
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row1991-04-09
2nd row2000-12-31
3rd row2005-03-23
4th row2005-12-02
5th row2006-02-01
ValueCountFrequency (%)
2007-11-15 2
 
6.7%
2015-12-30 2
 
6.7%
1991-04-09 1
 
3.3%
2017-01-23 1
 
3.3%
2022-12-22 1
 
3.3%
2020-12-31 1
 
3.3%
2019-12-31 1
 
3.3%
2019-06-28 1
 
3.3%
2019-03-14 1
 
3.3%
2018-02-22 1
 
3.3%
Other values (18) 18
60.0%
2024-03-15T02:40:41.643920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 64
21.3%
- 60
20.0%
2 57
19.0%
1 57
19.0%
3 17
 
5.7%
6 10
 
3.3%
5 9
 
3.0%
9 9
 
3.0%
8 8
 
2.7%
7 5
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
80.0%
Dash Punctuation 60
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
26.7%
2 57
23.8%
1 57
23.8%
3 17
 
7.1%
6 10
 
4.2%
5 9
 
3.8%
9 9
 
3.8%
8 8
 
3.3%
7 5
 
2.1%
4 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 64
21.3%
- 60
20.0%
2 57
19.0%
1 57
19.0%
3 17
 
5.7%
6 10
 
3.3%
5 9
 
3.0%
9 9
 
3.0%
8 8
 
2.7%
7 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 64
21.3%
- 60
20.0%
2 57
19.0%
1 57
19.0%
3 17
 
5.7%
6 10
 
3.3%
5 9
 
3.0%
9 9
 
3.0%
8 8
 
2.7%
7 5
 
1.7%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T02:40:42.573778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length24.866667
Min length18

Characters and Unicode

Total characters746
Distinct characters90
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)80.0%

Sample

1st row대구광역시 달서구 용산동 892-2
2nd row대구광역시 달서구 월곡로 5(도원동, 월광수변공원)
3rd row대구광역시 달서구 죽전동 253-1
4th row대구광역시 달서구 진천동 223-31
5th row대구광역시 달서구 송현로45(상인동, 달서어린이 도서관)
ValueCountFrequency (%)
대구광역시 29
20.6%
달서구 29
20.6%
월곡로 5
 
3.5%
5(도원동 5
 
3.5%
월광수변공원 5
 
3.5%
진천동 3
 
2.1%
이곡동 2
 
1.4%
대천동 2
 
1.4%
353-5(한샘청동공원 2
 
1.4%
화단 2
 
1.4%
Other values (55) 57
40.4%
2024-03-15T02:40:43.910995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
14.9%
61
 
8.2%
35
 
4.7%
34
 
4.6%
32
 
4.3%
32
 
4.3%
30
 
4.0%
30
 
4.0%
29
 
3.9%
( 18
 
2.4%
Other values (80) 334
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
65.5%
Space Separator 111
 
14.9%
Decimal Number 88
 
11.8%
Open Punctuation 18
 
2.4%
Close Punctuation 18
 
2.4%
Dash Punctuation 13
 
1.7%
Other Punctuation 7
 
0.9%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
61
 
12.5%
35
 
7.2%
34
 
7.0%
32
 
6.5%
32
 
6.5%
30
 
6.1%
30
 
6.1%
29
 
5.9%
18
 
3.7%
13
 
2.7%
Other values (63) 175
35.8%
Decimal Number
ValueCountFrequency (%)
5 17
19.3%
1 16
18.2%
3 12
13.6%
2 11
12.5%
8 7
8.0%
9 7
8.0%
4 7
8.0%
6 5
 
5.7%
7 4
 
4.5%
0 2
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
65.5%
Common 255
34.2%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
61
 
12.5%
35
 
7.2%
34
 
7.0%
32
 
6.5%
32
 
6.5%
30
 
6.1%
30
 
6.1%
29
 
5.9%
18
 
3.7%
13
 
2.7%
Other values (63) 175
35.8%
Common
ValueCountFrequency (%)
111
43.5%
( 18
 
7.1%
) 18
 
7.1%
5 17
 
6.7%
1 16
 
6.3%
- 13
 
5.1%
3 12
 
4.7%
2 11
 
4.3%
, 7
 
2.7%
8 7
 
2.7%
Other values (5) 25
 
9.8%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
65.5%
ASCII 257
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
43.2%
( 18
 
7.0%
) 18
 
7.0%
5 17
 
6.6%
1 16
 
6.2%
- 13
 
5.1%
3 12
 
4.7%
2 11
 
4.3%
, 7
 
2.7%
8 7
 
2.7%
Other values (7) 27
 
10.5%
Hangul
ValueCountFrequency (%)
61
 
12.5%
35
 
7.2%
34
 
7.0%
32
 
6.5%
32
 
6.5%
30
 
6.1%
30
 
6.1%
29
 
5.9%
18
 
3.7%
13
 
2.7%
Other values (63) 175
35.8%

위도
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.8261
Minimum35.798803
Maximum35.862691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T02:40:44.306216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.798803
5-th percentile35.798803
Q135.814122
median35.822665
Q335.840234
95-th percentile35.857784
Maximum35.862691
Range0.0638879
Interquartile range (IQR)0.026111247

Descriptive statistics

Standard deviation0.019738643
Coefficient of variation (CV)0.00055095708
Kurtosis-0.95114707
Mean35.8261
Median Absolute Deviation (MAD)0.015550255
Skewness0.31439413
Sum1074.783
Variance0.00038961404
MonotonicityNot monotonic
2024-03-15T02:40:45.037851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.7988027 5
 
16.7%
35.84030377 2
 
6.7%
35.81960198 2
 
6.7%
35.85375049 1
 
3.3%
35.82991428 1
 
3.3%
35.81718285 1
 
3.3%
35.82324257 1
 
3.3%
35.81406278 1
 
3.3%
35.80811307 1
 
3.3%
35.83257419 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
35.7988027 5
16.7%
35.80811307 1
 
3.3%
35.81329928 1
 
3.3%
35.81406278 1
 
3.3%
35.8143016 1
 
3.3%
35.8149591 1
 
3.3%
35.81499871 1
 
3.3%
35.81718285 1
 
3.3%
35.81960198 2
 
6.7%
35.82248657 1
 
3.3%
ValueCountFrequency (%)
35.8626906 1
3.3%
35.85808765 1
3.3%
35.85741306 1
3.3%
35.85375049 1
3.3%
35.85330408 1
3.3%
35.85223055 1
3.3%
35.84030377 2
6.7%
35.84002362 1
3.3%
35.83921358 1
3.3%
35.83257419 1
3.3%

경도
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53086
Minimum128.49122
Maximum128.55704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T02:40:45.470149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.49122
5-th percentile128.49751
Q1128.51904
median128.53352
Q3128.54797
95-th percentile128.55155
Maximum128.55704
Range0.0658286
Interquartile range (IQR)0.02893305

Descriptive statistics

Standard deviation0.017789899
Coefficient of variation (CV)0.00013840956
Kurtosis-0.28056495
Mean128.53086
Median Absolute Deviation (MAD)0.0147695
Skewness-0.64324596
Sum3855.9257
Variance0.00031648052
MonotonicityNot monotonic
2024-03-15T02:40:45.891600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
128.5482878 5
 
16.7%
128.5415227 2
 
6.7%
128.518695 2
 
6.7%
128.5337315 1
 
3.3%
128.5328409 1
 
3.3%
128.523659 1
 
3.3%
128.5570444 1
 
3.3%
128.5239926 1
 
3.3%
128.5200585 1
 
3.3%
128.5386697 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
128.4912158 1
3.3%
128.4914976 1
3.3%
128.5048587 1
3.3%
128.5078657 1
3.3%
128.5144577 1
3.3%
128.5147832 1
3.3%
128.518695 2
6.7%
128.5200585 1
3.3%
128.5213207 1
3.3%
128.523659 1
3.3%
ValueCountFrequency (%)
128.5570444 1
 
3.3%
128.5528916 1
 
3.3%
128.5499033 1
 
3.3%
128.5482878 5
16.7%
128.5470123 1
 
3.3%
128.5415227 2
 
6.7%
128.5390354 1
 
3.3%
128.5386697 1
 
3.3%
128.5365477 1
 
3.3%
128.5337315 1
 
3.3%

관리기관
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
공원녹지과
13 
문화관광과
기획조정실
평생교육과
위생과
Other values (2)

Length

Max length5
Median length5
Mean length4.8
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row공원녹지과
2nd row공원녹지과
3rd row공원녹지과
4th row공원녹지과
5th row평생교육과

Common Values

ValueCountFrequency (%)
공원녹지과 13
43.3%
문화관광과 8
26.7%
기획조정실 3
 
10.0%
평생교육과 2
 
6.7%
위생과 2
 
6.7%
경제지원과 1
 
3.3%
총무과 1
 
3.3%

Length

2024-03-15T02:40:46.320460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:40:46.654165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원녹지과 13
43.3%
문화관광과 8
26.7%
기획조정실 3
 
10.0%
평생교육과 2
 
6.7%
위생과 2
 
6.7%
경제지원과 1
 
3.3%
총무과 1
 
3.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
Minimum2024-02-19 00:00:00
Maximum2024-02-19 00:00:00
2024-03-15T02:40:47.007616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:47.356513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T02:40:34.273615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:33.751807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:34.551740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:34.009834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:40:47.632276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작품유형작품명재질설치일자작품주소위도경도관리기관
작품유형1.0001.0000.0001.0000.5540.3640.0000.764
작품명1.0001.0001.0000.9960.9610.8860.8861.000
재질0.0001.0001.0000.9750.9860.4890.0000.000
설치일자1.0000.9960.9751.0000.9510.9670.9791.000
작품주소0.5540.9610.9860.9511.0001.0001.0000.938
위도0.3640.8860.4890.9671.0001.0000.8470.198
경도0.0000.8860.0000.9791.0000.8471.0000.670
관리기관0.7641.0000.0001.0000.9380.1980.6701.000
2024-03-15T02:40:47.875950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작품유형재질관리기관
작품유형1.0000.0000.749
재질0.0001.0000.000
관리기관0.7490.0001.000
2024-03-15T02:40:48.092974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도작품유형재질관리기관
위도1.000-0.4220.3020.2290.000
경도-0.4221.0000.1630.0000.349
작품유형0.3020.1631.0000.0000.749
재질0.2290.0000.0001.0000.000
관리기관0.0000.3490.7490.0001.000

Missing values

2024-03-15T02:40:34.926944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:40:35.403107image/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

작품유형작품분류작품명재질설치일자작품주소위도경도관리기관데이터기준일자
0동상조각공룡어린이공원 공룡 조형물철재1991-04-09대구광역시 달서구 용산동 892-235.85375128.533731공원녹지과2024-02-19
1동상조각작곡가 박태준 흉상철재2000-12-31대구광역시 달서구 월곡로 5(도원동, 월광수변공원)35.798803128.548288공원녹지과2024-02-19
2동상조각대림어린이공원 동물 조형물철재2005-03-23대구광역시 달서구 죽전동 253-135.852231128.539035공원녹지과2024-02-19
3동상조각오복공원 도형조형물철재2005-12-02대구광역시 달서구 진천동 223-3135.814302128.529129공원녹지과2024-02-19
4기타조각푸른꿈철재2006-02-01대구광역시 달서구 송현로45(상인동, 달서어린이 도서관)35.822487128.547012평생교육과2024-02-19
5동상조각해바라기어린이공원 시계조형물석재2007-11-15대구광역시 달서구 상인동 144235.814959128.533305공원녹지과2024-02-19
6동상조각민들레어린이공원 동물조형물철재2007-11-15대구광역시 달서구 상인동 1429-135.814999128.536548공원녹지과2024-02-19
7기타조각성서도서관 분수대석재2008-12-31대구광역시 달서구 선원남로 129(이곡동)35.857413128.514458평생교육과2024-02-19
8기타조각모다먹거리 조형물철재2010-11-30대구광역시 달서구 호산동 721(SK주유소 앞 인도)35.840024128.491498위생과2024-02-19
9기타조각성서아울렛타운 아치조형물철재2014-06-24대구광역시 달서구 달서대로85길 성서아울렛타운 주입구35.839214128.491216경제지원과2024-02-19
작품유형작품분류작품명재질설치일자작품주소위도경도관리기관데이터기준일자
20동상조각달서희망워킹로드 희망조형물철재2018-06-01대구광역시 달서구 이곡동(성서네거리)35.853304128.507866공원녹지과2024-02-19
21동상조각배실(상)공원 웨딩테마 조형물철재2018-06-18대구광역시 달서구 이곡동 산18-3(배실상공원)35.862691128.504859공원녹지과2024-02-19
22동상조각학 상징조형물철재,석재2018-12-11대구광역시 달서구 본동 1117 (학산공원삼거리)35.832574128.53867공원녹지과2024-02-19
23동상조각선사시대로 관광콘텐츠(2만년의 역사가 잠든 곳)석재2018-02-22대구광역시 달서구 진천동 809-7335.808113128.520059문화관광과2024-02-19
24동상조각선사시대로 관광콘텐츠(선사시대로 거리박물관)철재,석재2019-03-14도시철도 1호선 진천역 등 7개소35.814063128.523993문화관광과2024-02-19
25기타조각달서별빛캠프 캠핑장 포토존 조형물철재2019-06-28대구광역시 달서구 앞산순환로 248(송현동)35.823243128.557044문화관광과2024-02-19
26기타조각선사시대로 테마거리 포토존 조형물브론즈, 우레탄도장2019-12-31대구광역시 달서구 진천로 92(이마트 월배점 공개공지 내)35.817183128.523659문화관광과2024-02-19
27기타조각거점공원컨텐츠 조형물철재2020-12-31대구광역시 달서구 대천동 353-5(한샘청동공원)35.819602128.518695문화관광과2024-02-19
28기타조각대구광역시 신청사 유치 기념비석재2022-12-22대구광역시 달서구 학산로 45(월성동, 달서구청 입구 화단)35.829914128.532841총무과2024-02-19
29기타조각한샘청동공원 내 고인돌석재2023-09-30대구광역시 달서구 대천동 353-5(한샘청동공원)35.819602128.518695문화관광과2024-02-19